konfound_lm {konfound}

Konfound Analysis for Linear Models

Description

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).