Konfound Analysis for Linear Models — konfound

This function performs konfound analysis on a linear model object produced by lm. It calculates the sensitivity of inferences for coefficients in the model. It supports analysis for a single variable or multiple variables.

Usage

konfound_lm(
  model_object,
  tested_variable_string,
  alpha,
  tails,
  index,
  to_return
)

Arguments

model_object: The linear model object produced by lm.
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).