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.

Install the latest version of this package by entering the following in R:
install.packages("nparLD")
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

View on CRAN

Functions

Files

MD5
R
R/summary.nparLD.R R/print.nparLD.R R/plot.nparLD.R R/nparLD.R R/ld.f2.R R/ld.f1.R R/ld.ci.R R/f2.ld.f1.R R/f1.ld.f2.R R/f1.ld.f1.R
NAMESPACE
man
man/tree.rd
man/summary.nparLD.rd
man/shoulder.rd
man/respiration.rd
man/rat.rd
man/print.nparLD.rd
man/plot.nparLD.rd
man/plasma.rd
man/panic2.rd
man/panic.rd
man/nparLD.rd
man/ld.f2.rd
man/ld.f1.rd
man/ld.ci.rd
man/f2.ld.f1.rd
man/f1.ld.f2.rd
man/f1.ld.f1.rd
man/edema.rd
man/dental.rd
man/amylase.rd
inst
inst/CITATION
DESCRIPTION
data
data/tree.rda
data/shoulder.rda
data/respiration.rda
data/rat.rda
data/plasma.rda
data/panic2.rda
data/panic.rda
data/edema.rda
data/dental.rda
data/amylase.rda

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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