Package: mmiCATs 0.2.0.9000

Mackson Ncube

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.

Authors:Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]

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mmiCATs.pdf |mmiCATs.html
mmiCATs/json (API)

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

Peer review:

Bug tracker:https://github.com/mightymetrika/mmicats/issues

On CRAN:

7 exports 1.81 score 137 dependencies 5 scripts 226 downloads

Last updated 15 days agofrom:917d661bfc. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 03 2024
R-4.5-winOKSep 03 2024
R-4.5-linuxOKSep 03 2024
R-4.4-winOKSep 03 2024
R-4.4-macOKSep 03 2024
R-4.3-winOKSep 03 2024
R-4.3-macOKSep 03 2024

Exports:CloseCATscluster_im_glmRobcluster_im_lmRobKenRCATskenward_rogermmiCATspwr_func_lmer

Dependencies:abindAERbackportsbase64encbdsmatrixbitbit64blobbootbroombroom.mixedbslibcachemcarcarDatacliclusterSEscodacodetoolscollapsecolorspacecommonmarkcowplotcpp11crayoncrosstalkDBIDEoptimRDerivdfidxdigestdoBydplyrDTevaluatefansifarverfastmapfit.modelsfontawesomeforcatsFormulafsfurrrfuturegenericsggplot2globalsgluegtablehighrhmshtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelistenvlme4lmerTestlmtestlubridatemagrittrMASSMatrixMatrixModelsmaxLikmemoisemgcvmicrobenchmarkmimeminqamiscToolsmlogitmmcardsmodelrmunsellmvtnormnlmenloptrnnetnumDerivparallellypbkrtestpcaPPpillarpkgconfigplmplogrpoolpromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackrlangrmarkdownrobustrobustbaseRPostgresrrcovsandwichsassscalesshinyshinythemessourcetoolsSparseMstatmodstringistringrsurvivaltibbletidyrtidyselecttimechangetinytexutf8vctrsviridisLitewithrxfunxtableyamlzoo