VPSPulse Mirrors

High-Performance Open-Source Archive

CRAN: Package MLMusingR

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: 0.4.0
Depends: R (≥ 3.5)
Imports: lme4, stats, nlme, Matrix, methods, magrittr, broom, generics, dplyr, performance, tibble, WeMix
Published: 2025-01-09
DOI: 10.32614/CRAN.package.MLMusingR
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.html , MLMusingR.pdf

Downloads:

Package source: MLMusingR_0.4.0.tar.gz
Windows binaries: r-devel: MLMusingR_0.4.0.zip, r-release: MLMusingR_0.4.0.zip, r-oldrel: MLMusingR_0.4.0.zip
macOS binaries: r-release (arm64): MLMusingR_0.4.0.tgz, r-oldrel (arm64): MLMusingR_0.4.0.tgz, r-release (x86_64): MLMusingR_0.4.0.tgz, r-oldrel (x86_64): MLMusingR_0.4.0.tgz
Old sources: MLMusingR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MLMusingR to link to this page.

Need mirroring services?
Contact our team at info@vpspulse.com.

Mirror powered by VPSpulse

Infrastructure sponsored by VPSPulse & Secure Payments by ArionPay.