Functions and Data Supporting 'Linear Mixed-Effects Models: A Step-by-Step Approach'

Provides functions and datasets to support the book by Galecki and Burzykowski (2013), 'Linear Mixed-Effects Models: A Step-by-Step Approach', Springer. Includes functions for power calculations, log-likelihood contributions, and data simulation for linear mixed-effects models.

nlmeU

Installation

devtools::install_github("agalecki/nlmeU")

Scripts

Source scripts:

library(nlmeU)
runScript()
runScript("Ch01.R")
runScript("Ch02.R")
runScript("Ch03.R")
runScript("Ch05.R")
runScript("Ch06.R")
runScript("Ch08.R")
runScript("Ch09.R")
runScript("Ch11.R")
runScript("Ch12.R")
runScript("Ch14.R")
runScript("Ch15a.R")
runScript("Ch15b.R")
runScript("Ch16lme.R")  # Be patient. It takes time to execute
runScript("Ch16mer.R")
runScript("Ch17part1.R")
runScript("Ch17a.R")            # See nlmeUpdK package
runScript("Ch18lme.R")
runScript("Ch18mer.R")
runScript("Ch19.R")
runScript("Ch19mer.R")
runScript("Ch20.2pdK1a.R")      # See nlmeUpdK package
runScript("Ch20.3influence.R")
runScript("Ch20.4simY.R")
runScript("Ch20.5Pwr.R")
runScript("Ch20a.R")

Datasets in CSV format are stored in:

(csvPath <- system.file("csvData", package = "nlmeU"))
list.files(csvPath)