broom.mixed: 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.

Getting started

Package details

AuthorBen Bolker [aut, cre] (<https://orcid.org/0000-0002-2127-0443>), David Robinson [aut], Dieter Menne [ctb], Jonah Gabry [ctb], Paul Buerkner [ctb], Christopher Hua [ctb], William Petry [ctb] (<https://orcid.org/0000-0002-5230-5987>), Joshua Wiley [ctb] (<https://orcid.org/0000-0002-0271-6702>), Patrick Kennedy [ctb], Eduard Szöcs [ctb] (<https://orcid.org/0000-0001-5376-1194>, BASF SE), Indrajeet Patil [ctb]
MaintainerBen Bolker <bolker@mcmaster.ca>
LicenseGPL-3
Version0.2.6
URL http://github.com/bbolker/broom.mixed
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("broom.mixed")

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broom.mixed documentation built on July 1, 2020, 6:41 p.m.