Learn R Programming

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)

Copy Link

Version

Install

install.packages('nlmeU')

Monthly Downloads

851

Version

0.71.7

License

GPL-2

Issues

Pull Requests

Stars

Forks

Maintainer

Andrzej Galecki

Last Published

August 31st, 2025

Functions in nlmeU (0.71.7)

prt.subjects

prt.subjects Data (63 x 5)
runScript

Execute scripts from Galecki and Burzykowski (2013)
simulateY.lme

Simulates values for an lme object
simulateY

Simulates values of the dependent variable based on a model fit
logLik1.lme

Calculates contribution of one subject to the log-likelihood for an lme object
Pwr

Calculates power based on a model fit
Pwr.lme

Performs power calculations for an lme object
logLik1

Calculates contribution of one subject to the log-likelihood
fcat

fcat Data (4851 x 3)
armd.wide

armd.wide Data (240 x 10)
missPat

Extract pattern of missing data
armd

armd Data (867 x 8)
SIIdata

SIIdata Data (1190 x 12)
armd0

armd0 Data (1107 x 8)
print.Pwr

Print method for Pwr objects
nlmeU-package

nlmeU: Datasets and Utility Functions Enhancing Functionality of 'nlme' Package
prt.fiber

prt.fiber Data (2471 x 5)
prt

prt Data (2471 x 9)