mlmhelpr: Multilevel/Mixed Model Helper Functions

A collection of miscellaneous helper function for running multilevel/mixed models in 'lme4'. This package aims to provide functions to compute common tasks when estimating multilevel models such as computing the intraclass correlation and design effect, centering variables, estimating the proportion of variance explained at each level, pseudo-R squared, random intercept and slope reliabilities, tests for homogeneity of variance at level-1, and cluster robust and bootstrap standard errors. The tests and statistics reported in the package are from Raudenbush & Bryk (2002, ISBN:9780761919049), Hox et al. (2018, ISBN:9781138121362), and Snijders & Bosker (2012, ISBN:9781849202015).

Getting started

Package details

AuthorLouis Rocconi [aut, cre] (<https://orcid.org/0000-0003-0693-0957>), Anthony Schmidt [aut] (<https://orcid.org/0000-0003-4478-0638>)
MaintainerLouis Rocconi <lrocconi@utk.edu>
LicenseMIT + file LICENSE
Version0.1.1
URL https://github.com/lrocconi/mlmhelpr
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mlmhelpr")

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mlmhelpr documentation built on May 29, 2024, 5:06 a.m.