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nparLD  

Nonparametric Analysis of Longitudinal Data in Factorial Experiments
View on CRAN: Click here


Download and install nparLD package within the R console
Install from CRAN:
install.packages("nparLD")

Install from Github:
library("remotes")
install_github("cran/nparLD")

Install by package version:
library("remotes")
install_version("nparLD", "2.3.1")



Attach the package and use:
library("nparLD")
Maintained by
Frank Konietschke
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-09-18
Latest Update: 2022-08-07
Description:
Performs 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.
How to cite:
Frank Konietschke (2009). nparLD: Nonparametric Analysis of Longitudinal Data in Factorial Experiments. R package version 2.3.1, https://cran.r-project.org/web/packages/nparLD. Accessed 27 Oct. 2026.
Previous versions and publish date:
(2026-10-14 08:50), 1.0 (2009-09-18 22:25), 1.1 (2009-10-15 13:09), 1.2 (2009-12-30 09:03), 1.3 (2011-02-14 21:09), 2.0 (2012-02-27 07:50), 2.1-1 (2022-06-27 11:43), 2.1 (2012-09-19 02:52), 2.2 (2022-08-07 02:00), 2.3.0 (2026-08-22 21:20), 2.3.1 (2026-08-28 17:10)
Other packages that cited nparLD R package
View nparLD citation profile
Other R packages that nparLD depends, imports, suggests or enhances
Complete documentation for nparLD
Functions, R codes and Examples using the nparLD R package
Some associated functions:
Some associated R codes: f1.ld.f1.R . f1.ld.f2.R . f2.ld.f1.R . ld.ci.R . ld.f1.R . ld.f2.R . nparLD.R . plot.nparLD.R . print.nparLD.R . summary.nparLD.R .  Full nparLD package functions and examples
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