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MLMusingR  

Practical Multilevel Modeling
View on CRAN: Click here


Download and install MLMusingR package within the R console
Install from CRAN:
install.packages("MLMusingR")

Install from Github:
library("remotes")
install_github("cran/MLMusingR")

Install by package version:
library("remotes")
install_version("MLMusingR", "0.4.0")



Attach the package and use:
library("MLMusingR")
Maintained by
Francis Huang
[Scholar Profile | Author Map]
First Published: 2022-01-11
Latest Update: 2024-01-27
Description:
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) and Bell and 'McCaffrey' (2002) is included as well as a function for checking for level-one homoskedasticity (Raudenbush & Bryk, 2002, ISBN:076191904X).
How to cite:
Francis Huang (2022). MLMusingR: Practical Multilevel Modeling. R package version 0.4.0, https://cran.r-project.org/web/packages/MLMusingR. Accessed 05 May. 2025.
Previous versions and publish date:
0.1.0 (2022-01-11 21:02), 0.2.0 (2022-05-10 15:40), 0.3.0 (2023-01-11 11:03), 0.3.2 (2024-01-27 16:30)
Other packages that cited MLMusingR R package
View MLMusingR citation profile
Other R packages that MLMusingR depends, imports, suggests or enhances
Complete documentation for MLMusingR
Functions, R codes and Examples using the MLMusingR R package
Some associated functions: Htest . MatSqrtInverse . cdata.ex . engage.miss . engage . glance.CR2 . group_center . group_mean . hdp . nmiss . pipe . ri_test1 . ri_test2 . robust_mixed . satdf . sch29 . suspend . thai . thai.sm . tidy.CR2 . wide . 
Some associated R codes: Htest.R . cdata.ex.R . engage.R . engage.miss.R . globals.R . group_center.R . group_mean.R . hdp.R . helper.R . nmiss.R . ri_test1.R . ri_test2.R . robust_mixed.R . satdf.R . sch29.R . suspend.R . thai.R . thai.sm.R . tidy_CR2.R . utils-pipe.R . wide.R .  Full MLMusingR package functions and examples
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