konfound_lmer {konfound}

Konfound Analysis for Linear Mixed-Effects Models

Description

This function performs konfound analysis on a linear mixed-effects model object produced by lme4::lmer. It calculates the sensitivity of inferences for fixed effects in the model. It supports analysis for a single variable or multiple variables.

Usage

konfound_lmer(
  model_object,
  tested_variable_string,
  test_all,
  alpha,
  tails,
  index,
  to_return
)

Arguments

model_object

The mixed-effects model object produced by lme4::lmer.

tested_variable_string

The name of the fixed effect being tested.

test_all

Boolean indicating whether to test all fixed effects or not.

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 fixed effect(s).