MLMusingR: Practical Multilevel Modeling

Convenience functions and datasets to be used with Practical Multilevel Modeling using R. The package includes functions for calculating group means, group mean centered variables, and displaying some basic missing data information. A function for computing robust standard errors for linear mixed models based on Liang and Zeger (1986) <doi:10.1093/biomet/73.1.13> and Bell and 'McCaffrey' (2002) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2002002/article/9058-eng.pdf?st=NxMjN1YZ> is included as well as a function for checking for level-one homoskedasticity (Raudenbush & Bryk, 2002, ISBN:076191904X).

Version: 0.3.2
Depends: R (≥ 3.5)
Imports: lme4, stats, nlme, Matrix, methods, magrittr, broom, generics, dplyr, performance, tibble
Published: 2024-01-27
Author: Francis Huang [aut, cre]
Maintainer: Francis Huang <flhuang2000 at yahoo.com>
BugReports: https://github.com/flh3/MLMusingR/issues
License: GPL-2
URL: https://github.com/flh3/MLMusingR
NeedsCompilation: no
Materials: README NEWS
CRAN checks: MLMusingR results

Documentation:

Reference manual: MLMusingR.pdf

Downloads:

Package source: MLMusingR_0.3.2.tar.gz
Windows binaries: r-devel: MLMusingR_0.3.2.zip, r-release: MLMusingR_0.3.2.zip, r-oldrel: MLMusingR_0.3.2.zip
macOS binaries: r-release (arm64): MLMusingR_0.3.2.tgz, r-oldrel (arm64): MLMusingR_0.3.2.tgz, r-release (x86_64): MLMusingR_0.3.2.tgz
Old sources: MLMusingR archive

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