phit

Binomial mixed model

Verification

Scope

Coefficients, inference, fitted values, random effects, variance components, and likelihoods of a binomial logit model with one random intercept, at the Laplace approximation and 9, 25, and 61 adaptive quadrature points. Log likelihood also against an independent SciPy evaluation of the same approximation.

References

Reference
R lme4 glmer(family = binomial), bobyqa, tolPwrss 1e-12
Versions
R 4.6.1, lme4 2.0.6, PHP 8.5.10, python 3.14.7, numpy 2.5.4, scipy 1.18.1, statsmodels 0.15.0

Data

Inputs
Seven data sets, including lme4's cbpp, rare events, grouped outcomes with offsets, large group variation, and a zero-variance boundary.

Method

Each case is fitted by lme4 and phit, and every quantity is compared with lme4. The same approximation is also evaluated independently with SciPy root finding and Gauss–Hermite quadrature. Each case's status is recomputed from the saved values.

Check
Comparison with a reference implementation
Recorded
2026-11-01, PHP 8.5.10, macOS 27.0.1 (arm64), commit 066e2e1

Tolerances

|x − r| ≤ 2e-5 + 2e-4 × |r|

Applies to: Estimates

Coefficients, random effects, variance components, fitted values

|x − r| ≤ 2e-5 + 0.002 × |r|

Applies to: Inference

Covariance, standard errors, z, p, intervals

|x − r| ≤ 1e-6 + 1e-8 × |r|

Applies to: Likelihood

Log likelihood, deviance, AIC, BIC

|x − r| ≤ 2e-8

Applies to: Independent likelihood

SciPy evaluation of the same approximation

x: package value; r: reference value. Absolute error: |x − r|. Max errors are over the values a row compares.

Results

588 comparisons in 28 cases: 588 pass, 0 fail, 0 skipped.

By case

Results by case
Case Comparisons Largest abs. error Status
Binary outcomes, Laplace 21 2.1e-5 pass
Binary outcomes, 9 quadrature points 21 4.2e-6 pass
Binary outcomes, 25 quadrature points 21 2.2e-6 pass
Binary outcomes, 61 quadrature points 21 2.6e-6 pass
No fixed intercept, Laplace 21 4.1e-6 pass
No fixed intercept, 9 quadrature points 21 4.5e-7 pass
No fixed intercept, 25 quadrature points 21 9.9e-7 pass
No fixed intercept, 61 quadrature points 21 6.7e-7 pass
Grouped outcomes with offsets, Laplace 21 3.5e-5 pass
Grouped outcomes with offsets, 9 quadrature points 21 4.1e-6 pass
Grouped outcomes with offsets, 25 quadrature points 21 3.6e-6 pass
Grouped outcomes with offsets, 61 quadrature points 21 8.7e-7 pass
Rare events, Laplace 21 2.9e-4 pass
Rare events, 9 quadrature points 21 7.1e-5 pass
Rare events, 25 quadrature points 21 2.0e-5 pass
Rare events, 61 quadrature points 21 1.5e-5 pass
Large group variation, Laplace 21 4.1e-5 pass
Large group variation, 9 quadrature points 21 6.5e-7 pass
Large group variation, 25 quadrature points 21 5.5e-7 pass
Large group variation, 61 quadrature points 21 8.9e-7 pass
Zero group variance (boundary), Laplace 21 2.9e-8 pass
Zero group variance (boundary), 9 quadrature points 21 1.7e-8 pass
Zero group variance (boundary), 25 quadrature points 21 1.7e-8 pass
Zero group variance (boundary), 61 quadrature points 21 1.7e-8 pass
cbpp (lme4), Laplace 21 5.6e-6 pass
cbpp (lme4), 9 quadrature points 21 1.0e-6 pass
cbpp (lme4), 25 quadrature points 21 1.2e-6 pass
cbpp (lme4), 61 quadrature points 21 8.6e-7 pass
All 588 comparisons
Every comparison
Case Quantity Criterion Values Package value Reference value Max abs. error Status
Binary outcomes, Laplace Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 3 3.5e-7 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 9 3.3e-6 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 3 3.0e-6 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 3 2.1e-5 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 3 1.2e-7 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 6 6.3e-6 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 185 7.1e-8 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 185 7.3e-8 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 185 5.9e-7 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 185 7.3e-8 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 3.6e-7 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 1.3e-7 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.024953238 1.02495296 2.8e-7 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.05052914 1.050528571 5.7e-7 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -106.5160823 -106.5160823 1.0e-8 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 213.0321645 213.0321646 2.1e-8 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 221.0321645 221.0321646 2.1e-8 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 233.9135878 233.9135879 2.1e-8 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 4 4 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 181 181 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -106.5160823 -106.5160823 4.3e-14 pass
Binary outcomes, 9 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 3 4.9e-8 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 9 6.3e-7 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 3 5.8e-7 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 3 4.2e-6 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 3 3.6e-8 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 6 1.2e-6 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.5e-8 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.6e-8 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.2e-7 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.6e-8 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 6.0e-8 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 2.1e-8 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.036172174 1.036172234 6.0e-8 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.073652774 1.073652898 1.2e-7 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -106.4237305 -106.4237305 2.1e-13 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 212.847461 212.847461 4.3e-13 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 220.847461 220.847461 4.3e-13 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 233.7288843 233.7288843 4.3e-13 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 4 4 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 181 181 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -106.4237305 -106.4237305 0 pass
Binary outcomes, 25 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 3 1.7e-7 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 9 3.8e-7 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 3 3.5e-7 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 3 2.2e-6 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 3 1.4e-7 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 6 8.5e-7 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 185 3.8e-8 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 185 4.3e-8 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.8e-7 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 185 4.3e-8 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 1.1e-7 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 1.7e-8 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.036173553 1.036173614 6.2e-8 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.073655632 1.073655759 1.3e-7 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -106.4237285 -106.4237285 5.7e-14 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 212.8474571 212.8474571 1.1e-13 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 220.8474571 220.8474571 1.1e-13 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 233.7288804 233.7288804 1.1e-13 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 4 4 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 181 181 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -106.4237285 -106.4237285 0 pass
Binary outcomes, 61 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 3 5.1e-8 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 9 4.1e-7 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 3 3.7e-7 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 3 2.6e-6 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 3 1.3e-7 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 6 7.8e-7 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 185 2.6e-8 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.9e-8 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.2e-7 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.9e-8 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 1.6e-8 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 4.0e-9 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.036173545 1.036173551 6.0e-9 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.073655614 1.073655627 1.2e-8 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -106.4237285 -106.4237285 1.4e-14 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 212.8474571 212.8474571 2.8e-14 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 220.8474571 220.8474571 2.8e-14 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 233.7288804 233.7288804 2.8e-14 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 4 4 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 181 181 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -106.4237285 -106.4237285 1.4e-14 pass
No fixed intercept, Laplace Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 2 3.0e-8 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 4 4.0e-8 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 2 2.3e-7 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 2 4.1e-6 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 2 8.4e-7 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 4 4.8e-7 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 185 5.1e-8 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 185 5.4e-8 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 185 3.7e-7 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 185 5.4e-8 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 4.1e-7 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 9.2e-8 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.822756605 1.822756234 3.7e-7 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3.32244164 3.32244029 1.4e-6 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -113.822073 -113.822073 8.3e-9 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 227.6441459 227.644146 1.7e-8 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 233.6441459 233.644146 1.7e-8 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 243.3052134 243.3052134 1.7e-8 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3 3 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 182 182 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -113.822073 -113.822073 5.4e-13 pass
No fixed intercept, 9 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 2 8.7e-9 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 4 4.9e-9 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 2 2.8e-8 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 2 4.5e-7 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 2 8.9e-8 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 4 6.4e-8 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.3e-8 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.1e-8 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 185 9.5e-8 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.1e-8 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 1.0e-7 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 3.3e-8 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.843266299 1.843266179 1.2e-7 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3.397630647 3.397630206 4.4e-7 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -113.6330606 -113.6330606 7.3e-12 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 227.2661213 227.2661213 1.5e-11 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 233.2661213 233.2661213 1.5e-11 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 242.9271887 242.9271887 1.5e-11 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3 3 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 182 182 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -113.6330606 -113.6330606 0 pass
No fixed intercept, 25 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 2 2.7e-8 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 4 3.8e-10 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 2 2.2e-9 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 2 3.5e-7 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 2 7.0e-8 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 4 3.1e-8 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 185 4.0e-8 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 185 2.9e-8 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 185 2.5e-7 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 185 2.9e-8 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 2.8e-7 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 6.8e-8 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.843342873 1.843342605 2.7e-7 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3.397912949 3.397911959 9.9e-7 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -113.6329667 -113.6329667 7.1e-14 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 227.2659333 227.2659333 1.4e-13 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 233.2659333 233.2659333 1.4e-13 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 242.9270008 242.9270008 1.4e-13 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3 3 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 182 182 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -113.6329667 -113.6329667 0 pass
No fixed intercept, 61 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 2 1.8e-8 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 4 3.2e-9 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 2 1.9e-8 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 2 1.5e-7 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 2 3.0e-8 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 4 5.4e-8 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 185 2.7e-8 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 185 2.2e-8 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.7e-7 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 185 2.2e-8 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 2.0e-7 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 4.7e-8 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.843342841 1.843342659 1.8e-7 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3.397912829 3.397912158 6.7e-7 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -113.6329667 -113.6329667 7.1e-14 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 227.2659333 227.2659333 1.4e-13 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 233.2659333 233.2659333 1.4e-13 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 242.9270008 242.9270008 1.4e-13 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3 3 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 182 182 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -113.6329667 -113.6329667 2.8e-14 pass
Grouped outcomes with offsets, Laplace Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 3 1.6e-6 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 9 2.3e-6 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 3 2.7e-6 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 3 3.5e-5 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 3 2.0e-8 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 6 6.8e-6 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 185 3.9e-7 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 185 3.3e-8 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 185 3.7e-7 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 185 3.3e-8 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 1.6e-6 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 4.6e-8 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.428117459 1.428118288 8.3e-7 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 2.039519478 2.039521844 2.4e-6 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -350.4316056 -350.4316056 2.0e-11 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 700.8632113 700.8632113 4.1e-11 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 708.8632113 708.8632113 4.1e-11 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 721.7446346 721.7446346 4.1e-11 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 4 4 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 181 181 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -350.4316056 -350.4316056 0 pass
Grouped outcomes with offsets, 9 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 3 1.2e-6 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 9 1.0e-7 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 3 1.2e-7 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 3 4.1e-6 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 3 2.3e-9 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 6 1.4e-6 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 185 2.8e-7 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.2e-8 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.6e-7 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.2e-8 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 1.1e-6 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 1.3e-8 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.428641935 1.428642038 1.0e-7 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 2.041017777 2.041018072 2.9e-7 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -350.4100063 -350.4100063 1.0e-12 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 700.8200126 700.8200126 2.0e-12 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 708.8200126 708.8200126 2.0e-12 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 721.7014359 721.7014359 2.0e-12 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 4 4 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 181 181 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -350.4100063 -350.4100063 0 pass
Grouped outcomes with offsets, 25 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 3 6.9e-7 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 9 3.8e-7 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 3 4.4e-7 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 3 3.6e-6 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 3 1.9e-8 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 6 1.6e-6 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.7e-7 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.1e-8 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.2e-7 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 185 1.1e-8 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 6.9e-7 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 1.5e-8 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.428642945 1.428642704 2.4e-7 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 2.041020665 2.041019977 6.9e-7 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -350.4100013 -350.4100013 1.8e-12 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 700.8200026 700.8200026 3.6e-12 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 708.8200026 708.8200026 3.6e-12 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 721.7014259 721.7014259 3.6e-12 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 4 4 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 181 181 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -350.4100013 -350.4100013 5.7e-14 pass
Grouped outcomes with offsets, 61 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 3 1.7e-7 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 9 9.3e-8 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 3 1.1e-7 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 3 8.7e-7 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 3 1.7e-8 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 6 3.9e-7 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 185 4.1e-8 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 185 4.2e-9 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 185 3.2e-8 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 185 4.2e-9 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 1.6e-7 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 1.5e-9 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.428642845 1.428642839 6.4e-9 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 2.041020379 2.041020361 1.8e-8 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -350.4100013 -350.4100013 1.1e-13 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 700.8200026 700.8200026 2.3e-13 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 708.8200026 708.8200026 2.3e-13 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 721.7014259 721.7014259 2.3e-13 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 4 4 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 181 181 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -350.4100013 -350.4100013 1.1e-13 pass
Rare events, Laplace Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 2 1.2e-6 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 4 2.9e-4 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 2 3.7e-5 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 2 2.7e-5 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 2 4.3e-7 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 4 7.4e-5 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 96 2.3e-9 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 96 3.6e-8 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 96 1.7e-6 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 96 3.6e-8 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 16 1.2e-6 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 16 2.0e-5 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 7.298560319 7.298561664 1.3e-6 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 53.26898273 53.26900236 2.0e-5 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -14.30921541 -14.30921541 4.9e-9 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 28.61843081 28.61843082 9.7e-9 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 34.61843081 34.61843082 9.7e-9 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 42.31147539 42.3114754 9.7e-9 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3 3 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 93 93 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -14.30921541 -14.30921541 1.4e-12 pass
Rare events, 9 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 2 1.3e-7 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 4 7.1e-5 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 2 1.1e-5 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 2 8.5e-6 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 2 3.8e-7 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 4 2.2e-5 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 96 4.1e-10 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 96 7.4e-9 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 96 2.6e-7 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 96 7.4e-9 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 16 8.8e-8 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 16 1.0e-7 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3.499107409 3.499107415 6.1e-9 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 12.24375266 12.2437527 4.3e-8 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -15.66374786 -15.66374786 1.7e-12 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 31.32749572 31.32749572 3.3e-12 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 37.32749572 37.32749572 3.3e-12 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 45.0205403 45.0205403 3.3e-12 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3 3 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 93 93 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -15.66374786 -15.66374786 1.6e-13 pass
Rare events, 25 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 2 2.9e-8 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 4 2.0e-5 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 2 3.3e-6 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 2 2.6e-6 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 2 1.1e-7 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 4 6.5e-6 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 96 8.3e-10 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 96 1.6e-9 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 96 3.9e-8 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 96 1.6e-9 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 16 2.2e-8 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 16 2.2e-8 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3.356056643 3.35605665 6.9e-9 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 11.26311619 11.26311623 4.6e-8 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -15.70761449 -15.70761449 2.3e-14 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 31.41522899 31.41522899 4.6e-14 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 37.41522899 37.41522899 4.3e-14 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 45.10827356 45.10827356 5.0e-14 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3 3 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 93 93 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -15.70761449 -15.70761449 7.1e-15 pass
Rare events, 61 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 2 1.0e-7 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 4 1.5e-5 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 2 2.4e-6 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 2 1.9e-6 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 2 8.3e-8 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 4 4.8e-6 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 96 1.8e-9 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 96 5.8e-9 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 96 1.7e-7 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 96 5.8e-9 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 16 9.6e-8 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 16 4.2e-7 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3.356286954 3.356287017 6.4e-8 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 11.26466212 11.26466254 4.3e-7 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -15.70790636 -15.70790636 1.6e-14 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 31.41581273 31.41581273 3.2e-14 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 37.41581273 37.41581273 2.8e-14 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 45.1088573 45.1088573 3.6e-14 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3 3 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 93 93 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -15.70790636 -15.70790636 2.0e-14 pass
Large group variation, Laplace Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 2 1.5e-6 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 4 9.2e-6 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 2 1.0e-5 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 2 4.1e-5 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 2 4.4e-6 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 4 2.1e-5 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 112 3.3e-7 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 112 3.0e-7 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 112 1.7e-6 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 112 3.0e-7 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 14 7.4e-7 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 14 7.8e-7 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.771034545 1.771033881 6.6e-7 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3.13656336 3.136561009 2.4e-6 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -60.96051285 -60.96051304 1.9e-7 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 121.9210257 121.9210261 3.8e-7 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 127.9210257 127.9210261 3.8e-7 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 136.0765223 136.0765227 3.8e-7 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3 3 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 109 109 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -60.96051285 -60.96051285 8.3e-13 pass
Large group variation, 9 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 2 5.4e-8 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 4 3.4e-7 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 2 3.1e-7 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 2 4.7e-7 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 2 2.9e-7 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 4 6.5e-7 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 112 2.5e-8 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 112 1.3e-8 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 112 6.5e-8 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 112 1.3e-8 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 14 4.6e-8 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 14 5.1e-7 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.83057019 1.830570191 1.5e-9 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3.350987219 3.350987225 5.6e-9 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -60.65815085 -60.65815085 8.2e-10 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 121.3163017 121.3163017 1.6e-9 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 127.3163017 127.3163017 1.6e-9 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 135.4717983 135.4717983 1.6e-9 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3 3 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 109 109 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -60.65815085 -60.65815085 0 pass
Large group variation, 25 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 2 1.5e-8 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 4 2.6e-7 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 2 2.3e-7 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 2 3.5e-7 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 2 1.7e-7 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 4 4.6e-7 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 112 3.7e-9 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 112 3.2e-9 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 112 4.0e-8 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 112 3.2e-9 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 14 3.3e-8 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 14 5.5e-7 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.830523929 1.830523894 3.5e-8 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3.350817854 3.350817727 1.3e-7 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -60.65818087 -60.65818087 1.1e-13 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 121.3163617 121.3163617 2.1e-13 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 127.3163617 127.3163617 2.1e-13 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 135.4718584 135.4718584 2.3e-13 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3 3 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 109 109 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -60.65818087 -60.65818087 0 pass
Large group variation, 61 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 2 3.3e-8 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 4 3.5e-7 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 2 3.1e-7 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 2 8.9e-7 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 2 2.6e-7 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 4 6.2e-7 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 112 1.1e-8 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 112 7.6e-9 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 112 3.9e-8 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 112 7.6e-9 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 14 2.2e-8 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 14 5.1e-7 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 1.830523917 1.830523928 1.1e-8 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3.35081781 3.35081785 4.0e-8 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -60.65818088 -60.65818088 0 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 121.3163618 121.3163618 0 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 127.3163618 127.3163618 0 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 135.4718584 135.4718584 0 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 3 3 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 109 109 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -60.65818088 -60.65818088 1.4e-14 pass
Zero group variance (boundary), Laplace Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 1 8.2e-9 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 1 1.4e-17 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 1 0 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 1 2.9e-8 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 1 2.3e-8 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 2 8.2e-9 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 48 2.1e-9 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 48 2.1e-9 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 48 8.2e-9 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 48 2.1e-9 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 0 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 0 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 0 0 0 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 0 0 0 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -33.27106467 -33.27106467 7.1e-15 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 66.54212933 66.54212933 1.4e-14 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 70.54212933 70.54212933 1.4e-14 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 74.28453136 74.28453136 1.4e-14 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 2 2 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 46 46 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -33.27106467 -33.27106467 0 pass
Zero group variance (boundary), 9 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 1 4.8e-9 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 1 1.4e-17 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 1 0 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 1 1.7e-8 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 1 1.3e-8 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 2 4.8e-9 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 48 1.2e-9 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 48 1.2e-9 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 48 4.8e-9 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 48 1.2e-9 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 0 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 0 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 0 0 0 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 0 0 0 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -33.27106467 -33.27106467 0 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 66.54212933 66.54212933 0 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 70.54212933 70.54212933 0 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 74.28453136 74.28453136 0 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 2 2 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 46 46 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -33.27106467 -33.27106467 0 pass
Zero group variance (boundary), 25 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 1 4.8e-9 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 1 1.4e-17 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 1 5.6e-17 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 1 1.7e-8 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 1 1.3e-8 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 2 4.8e-9 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 48 1.2e-9 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 48 1.2e-9 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 48 4.8e-9 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 48 1.2e-9 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 0 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 0 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 0 0 0 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 0 0 0 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -33.27106467 -33.27106467 0 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 66.54212933 66.54212933 0 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 70.54212933 70.54212933 0 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 74.28453136 74.28453136 0 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 2 2 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 46 46 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -33.27106467 -33.27106467 7.1e-15 pass
Zero group variance (boundary), 61 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 1 4.8e-9 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 1 1.4e-17 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 1 5.6e-17 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 1 1.7e-8 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 1 1.3e-8 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 2 4.8e-9 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 48 1.2e-9 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 48 1.2e-9 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 48 4.8e-9 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 48 1.2e-9 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 0 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 12 0 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 0 0 0 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 0 0 0 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -33.27106467 -33.27106467 0 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 66.54212933 66.54212933 0 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 70.54212933 70.54212933 0 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 74.28453136 74.28453136 0 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 2 2 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 46 46 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -33.27106467 -33.27106467 0 pass
cbpp (lme4), Laplace Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 4 4.7e-8 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 16 5.5e-7 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 4 6.5e-7 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 4 5.6e-6 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 4 1.6e-8 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 8 1.3e-6 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 56 3.0e-9 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 56 1.1e-8 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 56 7.6e-8 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 56 1.1e-8 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 15 4.1e-8 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 15 1.7e-8 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 0.6422614614 0.6422614173 4.4e-8 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 0.4124997849 0.4124997282 5.7e-8 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -92.02628186 -92.02628187 6.7e-9 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 184.0525637 184.0525637 1.3e-8 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 194.0525637 194.0525637 1.3e-8 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 204.1793222 204.1793222 1.3e-8 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 5 5 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 51 51 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -92.02628186 -92.02628186 1.2e-12 pass
cbpp (lme4), 9 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 4 7.6e-8 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 16 8.6e-8 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 4 1.0e-7 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 4 1.0e-6 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 4 2.7e-9 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 8 2.7e-7 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 56 3.1e-9 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 56 8.6e-9 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 56 8.3e-8 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 56 8.6e-9 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 15 1.5e-8 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 15 5.2e-9 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 0.6475177228 0.6475177086 1.4e-8 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 0.4192792013 0.419279183 1.8e-8 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -91.9833718 -91.9833718 8.7e-13 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 183.9667436 183.9667436 1.7e-12 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 193.9667436 193.9667436 1.7e-12 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 204.093502 204.093502 1.8e-12 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 5 5 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 51 51 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -91.9833718 -91.9833718 7.4e-13 pass
cbpp (lme4), 25 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 4 6.1e-8 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 16 1.2e-7 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 4 1.4e-7 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 4 1.2e-6 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 4 2.4e-9 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 8 2.8e-7 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 56 5.1e-9 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 56 9.4e-9 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 56 7.6e-8 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 56 9.4e-9 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 15 2.4e-8 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 15 7.9e-9 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 0.647518456 0.6475184778 2.2e-8 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 0.4192801508 0.4192801791 2.8e-8 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -91.98336904 -91.98336904 6.8e-13 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 183.9667381 183.9667381 1.4e-12 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 193.9667381 193.9667381 1.4e-12 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 204.0934965 204.0934965 1.4e-12 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 5 5 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 51 51 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -91.98336904 -91.98336904 7.2e-13 pass
cbpp (lme4), 61 quadrature points Coefficients |x − r| ≤ 2e-5 + 2e-4 × |r| 4 5.6e-8 pass
Covariance matrix |x − r| ≤ 2e-5 + 0.002 × |r| 16 5.8e-8 pass
Standard errors |x − r| ≤ 2e-5 + 0.002 × |r| 4 8.7e-8 pass
z statistics |x − r| ≤ 2e-5 + 0.002 × |r| 4 8.6e-7 pass
p-values |x − r| ≤ 2e-5 + 0.002 × |r| 4 3.7e-9 pass
Confidence intervals |x − r| ≤ 2e-5 + 0.002 × |r| 8 1.9e-7 pass
Fitted values (fixed effects only) |x − r| ≤ 2e-5 + 2e-4 × |r| 56 7.1e-9 pass
Fitted values |x − r| ≤ 2e-5 + 2e-4 × |r| 56 7.9e-9 pass
Linear predictor |x − r| ≤ 2e-5 + 2e-4 × |r| 56 5.9e-8 pass
Residuals |x − r| ≤ 2e-5 + 2e-4 × |r| 56 7.9e-9 pass
Random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 15 3.5e-8 pass
Conditional variances of the random effects |x − r| ≤ 2e-5 + 2e-4 × |r| 15 4.6e-10 pass
Random-intercept standard deviation |x − r| ≤ 2e-5 + 2e-4 × |r| 1 0.6475184777 0.6475184732 4.5e-9 pass
Random-intercept variance |x − r| ≤ 2e-5 + 2e-4 × |r| 1 0.419280179 0.4192801731 5.9e-9 pass
Log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 -91.98336904 -91.98336904 8.0e-13 pass
−2 log likelihood |x − r| ≤ 1e-6 + 1e-8 × |r| 1 183.9667381 183.9667381 1.6e-12 pass
AIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 193.9667381 193.9667381 1.6e-12 pass
BIC |x − r| ≤ 1e-6 + 1e-8 × |r| 1 204.0934965 204.0934965 1.6e-12 pass
Number of parameters |x − r| ≤ 2e-5 + 2e-4 × |r| 1 5 5 0 pass
Residual degrees of freedom |x − r| ≤ 2e-5 + 2e-4 × |r| 1 51 51 0 pass
Log likelihood vs independent SciPy evaluation |x − r| ≤ 2e-8 1 -91.98336904 -91.98336904 7.7e-13 pass

Limitations

Exclusions

  • statsmodels' Bayesian binomial mixed estimator has a different objective and is not compared.

Known differences

  • lme4's default tolPwrss (1e-7) leaves its conditional modes slightly short of convergence; the references use tolPwrss 1e-12, where lme4 and phit agree.
  • Agreement with lme4 is not integration accuracy: integration error is measured separately with QUADPACK and reported in the source results.

Reproduction

From the repository root
cargo build -p phit --release --locked
.context/notebooks-venv/bin/python docs/verifications/compare_logistic_mixed.py
Raw record
site/verifications/logistic-mixed.json
Full results
docs/verifications/logistic-mixed-results.json
Input data
tests/fixtures/logistic-mixed-r.json