nparLD: Nonparametric Analysis of Longitudinal Data in Factorial Experiments

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.

Getting started

Package details

AuthorKimihiro Noguchi <>, Mahbub Latif <>, Karthinathan Thangavelu, Frank Konietschke <>, Yulia R. Gel <>, Edgar Brunner <>
MaintainerFrank Konietschke <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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nparLD documentation built on Aug. 7, 2022, 1:06 a.m.