run_equiv: Fit CLMM and Run Equivalence Test

In truthiness: Illusory Truth Longitudinal Study

Description

Fit CLMM and Run Equivalence Test

Usage

run_equiv(.data, main_effect = FALSE, delta = 0.14)

Arguments

.data	Data frame, with the format as resulting from a call to gen_data.
main_effect	Whether to test the main effect of repetition (TRUE) or the repetition-by-interval interaction (FALSE; the default).
delta	Smallest (raw) effect size of interest (log odds scale).

Details

This function is intended to be used in data simulation.

Value

A vector with p-values; the element(s) named simple provide p-values for simple effects; the element(s) named equiv provides the p-value for the corresponding equivalence test.

Examples

set.seed(62)
dat <- gen_data(24)
run_equiv(dat, main_effect = TRUE)

truthiness documentation built on May 24, 2021, 9:07 a.m.