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mlmhelpr
View on CRAN: Click
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Download and install mlmhelpr package within the R console
Install from CRAN:
install.packages("mlmhelpr")
Install from Github:
library("remotes")
install_github("cran/mlmhelpr") Install by package version:
library("remotes")
install_version("mlmhelpr", "0.1.1") Attach the package and use:
library("mlmhelpr")
Maintained by
Louis Rocconi
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-04
Latest Update: 2024-05-21
Description:
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).
How to cite:
Louis Rocconi (2022). mlmhelpr: Multilevel/Mixed Model Helper Functions. R package version 0.1.1, https://cran.r-project.org/web/packages/mlmhelpr. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.1.0 (2022-11-04 11:10)
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Complete documentation for mlmhelpr
Functions, R codes and Examples using
the mlmhelpr R package
Some associated functions: boot_se . center . design_effect . hausman . hsb . icc . ncv_tests . plausible_values . r2_cor . r2_pve . reliability . robust_se . taucov .
Some associated R codes: boot_se.R . center.R . design_effect.R . hausman.R . hsb.R . icc.R . ncv_tests.R . plausible_values.R . r2_cor.R . r2_pve.R . reliability.R . robust_se.R . taucov.R . Full mlmhelpr package functions and examples
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