Tidying Methods for Mixed Models
check if a package is available and return informative message otherwi...
Augmentation for random effects (for caterpillar plots etc.)
Tidying methods for a brms model
Remove NULL items in a vector or list
Internal function to extract the fixed or random effects from an `MCMC...
Extract fixed effects from an MCMCglmm object
Tidying methods for gamlss objects
Retrieve all method/class combinations currently provided by the broom...
Tidying methods for glmmADMB models
Tidying methods for glmmTMB models
insert a row of NAs into a data frame wherever another data frame has ...
Tidying methods for mixed effects models
Tidying methods for MCMC (Stan, JAGS, etc.) fits
Tidying methods for mediation analyses involving mixed effects models
Tidying methods for mixed effects models
Extract the parameter names from an MCMCglmm object
Extract random effects from an MCMCglmm object
Extract the levels of factors used for random effects in MCMCglmm ob...
Objects exported from other packages
Tidying methods for an rstanarm model
Extract standard deviation of "random" effects from an MCMCglmm obje...
Tidying methods for lqmm models (EXPERIMENTAL)
Tidying methods for TMB models
Tidy variance structure for the nlme package.
strip rownames from an object
Convert fitted objects from various R mixed-model packages into tidy data frames along the lines of the 'broom' package. The package provides three S3 generics for each model: tidy(), which summarizes a model's statistical findings such as coefficients of a regression; augment(), which adds columns to the original data such as predictions, residuals and cluster assignments; and glance(), which provides a one-row summary of model-level statistics.