render_card_grid

This function takes a grid of card information, generates image tags for
each card, and organizes them into a responsive grid layout for display in a
Shiny application.

internal

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.

Mackson Ncube

mmiCATs

Cluster Adjusted t Statistic Applications

mightymetrika, LLC 

render_card_grid function

<dl><dt>new_card_grid</dt>
<dd>A matrix or data frame where each row represents a card and
each card has a property <code>icard</code> pointing to the image file relative to the
<code>mmiCATs</code> package's <code>www</code> directory. The function expects this parameter to be
structured with named columns where <code>icard</code> is one of the column names.</dd></dl>

Arguments

Render Card Grid in Shiny App — render_card_grid

<dl>

<dt>new_card_grid</dt>
<dd>A matrix or data frame where each row represents a card and
each card has a property <code>icard</code> pointing to the image file relative to the
<code>mmiCATs</code> package's <code>www</code> directory. The function expects this parameter to be
structured with named columns where <code>icard</code> is one of the column names.</dd>

</dl>

render_card_grid: Render Card Grid in Shiny App

Description

Usage

Value

Arguments