Package: mlmhelpr 0.1.0

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).

Authors:Louis Rocconi [aut, cre], Anthony Schmidt [aut]

mlmhelpr_0.1.0.tar.gz
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mlmhelpr_0.1.0.tgz(r-4.4-any)mlmhelpr_0.1.0.tgz(r-4.3-any)
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mlmhelpr.pdf |mlmhelpr.html
mlmhelpr/json (API)
NEWS

# Install 'mlmhelpr' in R:
install.packages('mlmhelpr', repos = c('https://lrocconi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/lrocconi/mlmhelpr/issues

Datasets:
  • hsb - HSB: High School and Beyond Data

On CRAN:

2.70 score 8 scripts 287 downloads 12 exports 13 dependencies

Last updated 6 months agofrom:7f825bb87e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 18 2024
R-4.5-winOKOct 18 2024
R-4.5-linuxOKOct 18 2024
R-4.4-winOKOct 18 2024
R-4.4-macOKOct 18 2024
R-4.3-winOKOct 18 2024
R-4.3-macOKOct 18 2024

Exports:boot_secenterdesign_effecthausmaniccncv_testsplausible_valuesr2_corr2_pvereliabilityrobust_setaucov

Dependencies:bootlatticelme4MASSmathjaxrMatrixminqanlmenloptrrbibutilsRcppRcppEigenRdpack