fit_model

This function fits a linear model using robust estimation methods.
It allows the use of either the 'robust' or 'robustbase' packages for fitting
the model.

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 

fit_model function

<dl><dt>engine</dt>
<dd>A character string specifying the engine to be used for model
fitting. Must be either "robust" or "robustbase".</dd>
<dt>formula</dt>
<dd>An object of class formula (or one that can be coerced to that
class): a symbolic description of the model to be fitted.</dd>
<dt>data</dt>
<dd>A dataframe</dd>
<dt>...</dt>
<dd>Additional arguments to be passed to the underlying fitting function.</dd></dl>

Arguments

Fit a Linear Model with Robust Estimation — fit_model

<dl>

<dt>engine</dt>
<dd>A character string specifying the engine to be used for model
fitting. Must be either "robust" or "robustbase".</dd>


<dt>formula</dt>
<dd>An object of class formula (or one that can be coerced to that
class): a symbolic description of the model to be fitted.</dd>


<dt>data</dt>
<dd>A dataframe</dd>


<dt>...</dt>
<dd>Additional arguments to be passed to the underlying fitting function.</dd>

</dl>

fit_model: Fit a Linear Model with Robust Estimation

Description

Usage

Value

Arguments