# Variational Inference for Hierarchical Generalized Linear Models

## Documentation for package ‘vglmer’ version 1.0.3

- DESCRIPTION file.

## Help Pages

add_formula_SL | SuperLearner with (Variational) Hierarchical Models
coef.vglmer | Generic Functions after Running vglmer
ELBO | Generic Functions after Running vglmer
fitted.vglmer | Generic Functions after Running vglmer
fixef.vglmer | Generic Functions after Running vglmer
format_glmer | Generic Functions after Running vglmer
format_vglmer | Generic Functions after Running vglmer
formula.vglmer | Generic Functions after Running vglmer
MAVB | Perform MAVB after fitting vglmer
posterior_samples.vglmer | Draw samples from the variational distribution
predict.SL.glmer | SuperLearner with (Variational) Hierarchical Models
predict.SL.vglmer | SuperLearner with (Variational) Hierarchical Models
predict.vglmer | Predict after vglmer
predict_MAVB | Predict after vglmer
print.vglmer | Generic Functions after Running vglmer
ranef.vglmer | Generic Functions after Running vglmer
sigma.vglmer | Generic Functions after Running vglmer
SL.glmer | SuperLearner with (Variational) Hierarchical Models
SL.vglmer | SuperLearner with (Variational) Hierarchical Models
sl_vglmer | SuperLearner with (Variational) Hierarchical Models
summary.vglmer | Generic Functions after Running vglmer
vcov.vglmer | Generic Functions after Running vglmer
vglmer | Variational Inference for Hierarchical Generalized Linear Models
vglmer-class | Generic Functions after Running vglmer
vglmer_control | Control for vglmer estimation
vglmer_predict | Predict after vglmer
v_s | Create splines for use in vglmer