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> is included as well as a function for checking for level-one homoskedasticity (Raudenbush & Bryk, 2002, ISBN:076191904X).

Version:	0.1.0
Depends:	R (≥ 3.5)
Imports:	lme4, stats, nlme, Matrix
Published:	2022-01-11
Author:	Francis Huang
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_0.1.0.tar.gz
Windows binaries:	r-devel: MLMusingR_0.1.0.zip, r-release: MLMusingR_0.1.0.zip, r-oldrel: MLMusingR_0.1.0.zip
macOS binaries:	r-release (arm64): MLMusingR_0.1.0.tgz, r-release (x86_64): MLMusingR_0.1.0.tgz, r-oldrel: MLMusingR_0.1.0.tgz

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