This function performs konfound analysis on a generalized linear model
object. It uses 'broom' to tidy model outputs and calculates the sensitivity
of inferences. It supports analysis for a single variable
or multiple variables.
Usage
konfound_glm(
model_object,
tested_variable_string,
alpha,
tails,
index = "RIR",
to_return
)
Arguments
- model_object
The model object produced by glm.
- tested_variable_string
The name of the variable being tested.
- alpha
Significance level for hypothesis testing.
- tails
Number of tails for the test (1 or 2).
- index
Type of sensitivity analysis ('RIR' by default).
- to_return
The type of output to return.
Value
The results of the konfound analysis for the specified variable(s).