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mmiCATs  

Cluster Adjusted t Statistic Applications
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mmiCATs", "0.2.0")



Attach the package and use:
library("mmiCATs")
Maintained by
Mackson Ncube
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-16
Latest Update: 2024-02-21
Description:
Simulation results detailed in Esarey and Menger (2019) 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.
How to cite:
Mackson Ncube (2024). mmiCATs: Cluster Adjusted t Statistic Applications. R package version 0.2.0, https://cran.r-project.org/web/packages/mmiCATs. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.1.0 (2024-02-16 16:10), 0.1.1 (2024-02-21 09:00)
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Complete documentation for mmiCATs
Functions, R codes and Examples using the mmiCATs R package
Full mmiCATs package functions and examples
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