konfound_glm {konfound}

Konfound Analysis for Generalized Linear Models

Description

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).