Man pages for glmmsr
Fit a Generalized Linear Mixed Model
| calibration_parameters | Parameters needed to calibrate the cluster tree |
| cluster_graph | The beliefs for the clusters and sepsets of a cluster tree,... |
| coef.glmmFit | Extract Model Coefficients for a glmmFit object |
| continuous_beliefs | A vector of terms in the factorization of a graphical model,... |
| find_approximation_name | Find the name of the likelihood approximation used for... |
| find_lfun_glmm | Find the log-likelihood function |
| find_modfr_glmm | Parse a formula (and possibly subformulas) |
| glmm | Fit a GLMM |
| glmmFit | Construct a glmmFit object |
| glmmsr | glmmsr: fit GLMMs with various approximation methods |
| optimize_glmm | Maximize the approximated log-likelihood |
| print.glmmFit | Print glmmFit object |
| print.summaryGlmmFit | Print summaryGlmmFit object |
| set_lme4_control | Control of Mixed Model Fitting |
| summary.glmmFit | Summarize a glmmFit object |
| summaryGlmmFit | Construct a summaryGlmmFit object |
| three_level | A dataset simulated from a three-level model |
| two_level | A dataset simulated from a two-level model |
| vcov.glmmFit | Calculate Variance-Covariance Matrix for a glmmFit object |
