README.md

In mlmhelpr: Multilevel/Mixed Model Helper Functions

mlmhelpr

A package of helper functions for multilevel models fit using the lme4 package

Authors

• Louis Rocconi, PhD
• Anthony Schmidt, PhD

Installation

To install the latest development version directly from Github, type:

install.packages(“remotes”)

remotes::install_github(“lrocconi/mlmhelpr”)

Functions

boot_se

Compute bootstrap standard errors and confidence intervals for fixed effects

center

Automatically grand- or group-mean center variables and re-estimates the model

design_effect

Calculate the design effect to determine if multilevel modeling is needed

hausman

Perform a Hausman test to test for differences between random- and fixed-effects models (experimental)

icc

Calculate the intraclass correlation

ncv_tests

Computes three different Non-constant variance tests (experimental)

plausible_values

Compute the plausible value range for random effects

r2_cor

Calculate the squared correlation between the observed and predicted values

r2_pve

Compute the proportion of variance explained for each random effect in the model

reliability

Calculate reliability coefficients for random effects

robust_se

Computes robust standard errors for lmer models

taucov

Calculate correlation between random intercepts and slopes

mlmhelpr documentation built on May 29, 2024, 5:06 a.m.