nparLD: Nonparametric Analysis of Longitudinal Data in Factorial Experiments
Version 2.1

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.

Getting started

Package details

AuthorKimihiro Noguchi <kinoguchi@ucdavis.edu>, Mahbub Latif <mlatif@gwdg.de>, Karthinathan Thangavelu <kthanga@gwdg.de>, Frank Konietschke <fkoniet@gwdg.de>, Yulia R. Gel <ygl@math.uwaterloo.ca>, Edgar Brunner <brunner@ams.med.uni-goettingen.de>
Date of publication2012-09-19 02:52:08
MaintainerKimihiro Noguchi <kinoguchi@ucdavis.edu>
LicenseGPL (>= 2)
Version2.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("nparLD")

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nparLD documentation built on May 30, 2017, 4:19 a.m.