broom.mixed v0.2.3


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Tidying Methods for Mixed Models

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.

Functions in broom.mixed

Name Description
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
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Type Package
License GPL-3
RoxygenNote 6.1.0
Encoding UTF-8
VignetteBuilder knitr
NeedsCompilation no
Packaged 2018-10-21 18:43:06 UTC; bolker
Repository CRAN
Date/Publication 2018-10-21 21:40:15 UTC

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