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 |