Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina GrĂ¼n, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
nparLD: An R Software Package for the Nonparametric Analysis of Longitudinal Data in Factorial Experiments | Noguchi | Journal of Statistical Software
Authors: Kimihiro Noguchi, Yulia R. Gel, Edgar Brunner, Frank Konietschke
Title: nparLD: An R Software Package for the Nonparametric Analysis of Longitudinal Data in Factorial Experiments
Abstract: Longitudinal data from factorial experiments frequently arise in various fields of study, ranging from medicine and biology to public policy and sociology. In most practical situations, the distribution of observed data is unknown and there may exist a number of atypical measurements and outliers. Hence, use of parametric and semi-parametric procedures that impose restrictive distributional assumptions on observed longitudinal samples becomes questionable. This, in turn, has led to a substantial demand for statistical procedures that enable us to accurately and reliably analyze longitudinal measurements in factorial experiments with minimal conditions on available data, and robust nonparametric methodology offering such a possibility becomes of particular practical importance. In this article, we introduce a new R package nparLD which provides statisticians and researchers from other disciplines an easy and user-friendly access to the most up-to-date robust rank-based methods for the analysis of longitudinal data in factorial settings. We illustrate the implemented procedures by case studies from dentistry, biology, and medicine.

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Paper: nparLD: An R Software Package for the Nonparametric Analysis of Longitudinal Data in Factorial Experiments     Download PDF (Downloads: 7901)
Supplements:
nparLD_2.1.tar.gz: R source package Download (Downloads: 467; 54KB)
v50i12.R: R example code from the paper Download (Downloads: 513; 4KB)

DOI: 10.18637/jss.v050.i12

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.