The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

mmiCATs: Cluster Adjusted t Statistic Applications

Simulation results detailed in Esarey and Menger (2019) <doi:10.1017/psrm.2017.42> demonstrate that cluster adjusted t statistics (CATs) are an effective method for correcting standard errors in scenarios with a small number of clusters. The 'mmiCATs' package offers a suite of tools for working with CATs. The mmiCATs() function initiates a 'shiny' web application, facilitating the analysis of data utilizing CATs, as implemented in the cluster.im.glm() function from the 'clusterSEs' package. Additionally, the pwr_func_lmer() function is designed to simplify the process of conducting simulations to compare mixed effects models with CATs models. For educational purposes, the CloseCATs() function launches a 'shiny' application card game, aimed at enhancing users' understanding of the conditions under which CATs should be preferred over random intercept models.

Version: 0.2.0
Imports: broom, broom.mixed, clusterSEs, DT, lmerTest, MASS, mmcards, pool, robust, robustbase, RPostgres, shiny, shinythemes
Suggests: testthat (≥ 3.0.0)
Published: 2024-08-26
DOI: 10.32614/CRAN.package.mmiCATs
Author: Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]
Maintainer: Mackson Ncube <macksonncube.stats at gmail.com>
BugReports: https://github.com/mightymetrika/mmiCATs/issues
License: MIT + file LICENSE
URL: https://github.com/mightymetrika/mmiCATs
NeedsCompilation: no
Materials: README
CRAN checks: mmiCATs results

Documentation:

Reference manual: mmiCATs.pdf

Downloads:

Package source: mmiCATs_0.2.0.tar.gz
Windows binaries: r-devel: mmiCATs_0.2.0.zip, r-release: mmiCATs_0.2.0.zip, r-oldrel: mmiCATs_0.2.0.zip
macOS binaries: r-release (arm64): mmiCATs_0.2.0.tgz, r-oldrel (arm64): mmiCATs_0.2.0.tgz, r-release (x86_64): mmiCATs_0.2.0.tgz, r-oldrel (x86_64): mmiCATs_0.2.0.tgz
Old sources: mmiCATs archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.