nparLD: Nonparametric Analysis of Longitudinal Data in Factorial Experiments

The package "nparLD" is designed to perform nonparametric analysis of longitudinal data in factorial experiments. Longitudinal data are those which are collected from the same subjects over time, and they frequently arise in biological sciences. Nonparametric methods do not require distributional assumptions, and are applicable to a variety of data types (continuous, discrete, purely ordinal, and dichotomous). Such methods are also robust with respect to outliers and for small sample sizes.

Version: 2.1
Depends: R (≥ 2.6.0), MASS
Published: 2012-09-19
Author: Kimihiro Noguchi, Mahbub Latif, Karthinathan Thangavelu, Frank Konietschke, Yulia R. Gel, Edgar Brunner
Maintainer: Kimihiro Noguchi <kinoguchi at ucdavis.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: NA
Materials: NA
CRAN checks: nparLD results

Downloads:

Reference manual: nparLD.pdf
Package source: nparLD_2.1.tar.gz
Windows binaries: r-devel: nparLD_2.1.zip, r-release: nparLD_2.1.zip, r-oldrel: nparLD_2.1.zip
OS X Snow Leopard binaries: r-release: nparLD_2.1.tgz, r-oldrel: nparLD_2.1.tgz
OS X Mavericks binaries: r-release: nparLD_2.1.tgz
Old sources: nparLD archive