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