Other packages > Find by keyword >

mlmtools  

Multi-Level Model Assessment Kit
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mlmtools", "1.0.2")



Attach the package and use:
library("mlmtools")
Maintained by
Laura Jamison
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-30
Latest Update: 2022-10-26
Description:
Multilevel models (mixed effects models) are the statistical tool of choice for analyzing multilevel data (Searle et al, 2009). These models account for the correlated nature of observations within higher level units by adding group-level error terms that augment the singular residual error of a standard OLS regression. Multilevel and mixed effects models often require specialized data pre-processing and further post-estimation derivations and graphics to gain insight into model results. The package presented here, 'mlmtools', is a suite of pre- and post-estimation tools for multilevel models in 'R'. Package implements post-estimation tools designed to work with models estimated using 'lme4''s (Bates et al., 2014) lmer() function, which fits linear mixed effects regression models. Searle, S. R., Casella, G., & McCulloch, C. E. (2009, ISBN:978-0470009598). Bates, D., M
How to cite:
Laura Jamison (2022). mlmtools: Multi-Level Model Assessment Kit. R package version 1.0.2, https://cran.r-project.org/web/packages/mlmtools. Accessed 03 Jul. 2026.
Previous versions and publish date:
1.0.1 (2022-09-30 09:30)
Other packages that cited mlmtools R package
View mlmtools citation profile
Other R packages that mlmtools depends, imports, suggests or enhances
Complete documentation for mlmtools
Functions, R codes and Examples using the mlmtools R package
Some associated functions: ICCm . betweenPlot . caterpillarPlot . center . instruction . mlm_assumptions . prints . reporting . rsqmlm . varCompare . withinPlot . 
Some associated R codes: ICCm.R . betweenPlot.R . caterpillarPlot.R . center.R . globals.R . instruction.R . mlm_assumptions.R . prints.R . reporting.R . rsqmlm.R . varCompare.R . withinPlot.R .  Full mlmtools package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gap.datasets  
Datasets for 'gap'
Datasets associated with the 'gap' package. Currently, it includes an example data for regional ass ...
Download / Learn more Package Citations See dependency  
GaussSuppression  
Tabular Data Suppression using Gaussian Elimination
A statistical disclosure control tool to protect tables by suppression using the Gaussian eliminati ...
Download / Learn more Package Citations See dependency  
reportROC  
An Easy Way to Report ROC Analysis
Provides an easy way to report the results of ROC analysis, including: 1. an ROC curve. 2. the val ...
Download / Learn more Package Citations See dependency  
MANOVA.RM  
Resampling-Based Analysis of Multivariate Data and Repeated Measures Designs
Implemented are various tests for semi-parametric repeated measures and general MANOVA designs that ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
tabbycat  
Tabulate and Summarise Categorical Data
Functions for tabulating and summarising categorical variables. Most functions are designed to work ...
Download / Learn more Package Citations See dependency  

27,653

R Packages

236,180

Dependencies

73,487

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA