nparLD: Nonparametric Analysis of Longitudinal Data in Factorial Experiments

Provides nonparametric procedures for the analysis of longitudinal data in factorial experiments. The package implements hypothesis tests on marginal distribution functions and unweighted relative marginal effects. It supports arbitrary crossed factorial designs with longitudinal or repeated-measures factors, missing observations, dependent replicates, rank- and pseudo-rank-based inference, Wald-type and ANOVA-type statistics, multiple contrast tests, and simultaneous confidence intervals.

Version:	2.3.0
Depends:	R (≥ 3.5)
Imports:	MASS, Matrix, ggplot2, mvtnorm, multcomp, rlang
Suggests:	knitr, rmarkdown, spelling, testthat (≥ 3.0.0)
Published:	2026-08-22
DOI:	10.32614/CRAN.package.nparLD
Author:	Frank Konietschke [aut, cre], Kimihiro Noguchi [ctb] (Original package author), Mahbub Latif [ctb] (Original package author), Karthinathan Thangavelu [ctb] (Original package author), Yulia R. Gel [ctb] (Original package author), Edgar Brunner [ctb]
Maintainer:	Frank Konietschke <frank.konietschke at charite.de>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Language:	en-US
Citation:	nparLD citation info
Materials:	README, NEWS
CRAN checks:	nparLD results

Documentation:

Reference manual:	nparLD.html , nparLD.pdf
Vignettes:	Nonparametric Longitudinal Data Analysis with nparLD (source, R code)

Downloads:

Package source:	nparLD_2.3.0.tar.gz
Windows binaries:	r-devel: nparLD_2.2.zip, r-release: nparLD_2.3.0.zip, r-oldrel: nparLD_2.2.zip
macOS binaries:	r-release (arm64): nparLD_2.3.0.tgz, r-oldrel (arm64): nparLD_2.3.0.tgz, r-release (x86_64): nparLD_2.3.0.tgz, r-oldrel (x86_64): nparLD_2.3.0.tgz
Old sources:	nparLD archive

Reverse dependencies:

Reverse suggests:

colleyRstats, MANOVA.RM

Linking:

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