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broom.mixed (version 0.2.3)

Tidying Methods for Mixed Models

Description

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.

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Install

install.packages('broom.mixed')

Monthly Downloads

31,451

Version

0.2.3

License

GPL-3

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Maintainer

Ben Bolker

Last Published

October 21st, 2018

Functions in broom.mixed (0.2.3)

insert_NAs

insert a row of NAs into a data frame wherever another data frame has NAs
.extractEffects

Internal function to extract the fixed or random effects from an MCMCglmm object
glmmadmb_tidiers

Tidying methods for glmmADMB models
tidy.TMB

Tidying methods for TMB models
unrowname

strip rownames from an object
ranefLevels

Extract the levels of factors used for random effects in MCMCglmm objects
augment.ranef.mer

Augmentation for random effects (for caterpillar plots etc.)
reexports

Objects exported from other packages
brms_tidiers

Tidying methods for a brms model
nlme_tidiers

Tidying methods for mixed effects models
ranef.MCMCglmm

Extract random effects from an MCMCglmm object
rstanarm_tidiers

Tidying methods for an rstanarm model
stdranef

Extract standard deviation of "random" effects from an MCMCglmm object
fixef.MCMCglmm

Extract fixed effects from an MCMCglmm object
compact

Remove NULL items in a vector or list
tidy.MCMCglmm

Tidying methods for MCMC (Stan, JAGS, etc.) fits
glmmTMB_tidiers

Tidying methods for glmmTMB models
gamlss_tidiers

Tidying methods for gamlss objects
lme4_tidiers

Tidying methods for mixed effects models
paramNamesMCMCglmm

Extract the parameter names from an MCMCglmm object