Variational Inference for Hierarchical Generalized Linear Models
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Documentation for package ‘vglmer’ version 1.0.6
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 |