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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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.