SOFTWARE DOWNLOADS
SAS MACROS
NLMEM: A SAS/IML macro for nonlinear mixed effects models.
Requires SAS/STAT, SAS/IML and NLINMIX macro for SAS Version 8
To download NLMEM, please fill out this form first.
CTIM: A set of SAS macros for categorical traits interval mapping.
Download SAS file here.
SAS2ARC: A SAS Macro to create an Arc data file from a SAS data set
Versions for Unix (shell archive) and Windows (zipped and unzipped) are available.
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R PACKAGES
nlmeU
nlmeU package contains datasets and utility functions enhancing functionality of nlme package. Datasets, functions and
scripts are described in Galecki, Burzykowski (2013) book. Package is under development.
nlmeUpdK Download:
(.tar.gz) |
(.zip) |
(.tgz)
nlmeUpdK is a companion package to nlmeU and contains scripts and functions used in Galecki and
Burzykowski (2013) book pertaining to a new pdMat class (Sections 17.6-17.8 and 20.2)
WWGbook
WWGbook package contains datasets and scripts used in West, Welch, and Galecki (2007)
book
nlmeU FAQ
- How to install packages needed to run scripts from the book?
Please use the following instructions
- pckgs <- c("nlmeU", "plyr", "reshape", "RLRsim", "WWGbook",
"ellipse")
install.packages(pckgs)
- To install lme4.0 package use:
install.packages("lme4.0", repos = "http://R-Forge.R-project.org")
- How to obtain list of scripts available in nlmeU package?
- After installing nlmeU package please use:
library(nlmeU)
runScript()
Note: The results of executing scripts are stored in files: Ch02.Rout, Ch03.Rout and so on.
- Results of running scripts listed by runScript() function (see item 2) are different from those included in the book. Why?
We tested scripts from our book using R2.15.0 (2012-03-30) under Windows 7 on x86_64-pc-mingw32/x64 (64-bit) platform. Results matched those included in the book. We noted that results are slightly different for i386-pc-mingw32/i386 (32-bit) platform.
- Is pdKronecker class described in Chapter 17 and Section 20.2 available in nlmeU package?
pdKronecker class is not available in nlmeU package. It is available in nlmeUpdk companion package and can be downloaded using:
install.packages("nlmeUpdK", repos = "http://R-Forge.R-project.org)
- What should I do, if I find an error in one of the functions?
We tested our functions under different scenarios, but we consider our package to be under development and inevitably errors may occur. Please report them to agalecki@umich.edu.
We are also interested in any of your comments on how to improve functions/and or scripts distributed with the package.