The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
nparLD: An R Software Package for the Nonparametric Analysis of Longitudinal Data in Factorial Experiments
Open accessAbstract
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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Modern robust statistical methods: An easy way to maximize the accuracy and power of your research.
Erceg-Hurn, D. M., & Mirosevich, V. M. (2008) · American Psychologist · doi:10.1037/0003-066x.63.7.591 · Cited by 959
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“…rank-based methods for null hypotheses formulated in distribution functions are implemented within the packages npmv for oneand two-way MANOVA (Burchett et al., 2017) and nparLD for several repeated measures designs The R Journal Vol. XX/YY, AAAA 20ZZ ISSN 2073-4859 (Noguchi et al., 2012).”
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Metadata
- Authors
- Noguchi, K., Gel, Y. R., Brunner, E., & Konietschke, F.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2012
- Volume
- 50
- Issue
- 12
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W1630835083
- Cited by
- 1,142
- References
- 1
- FWCI
- 18.88
- Type
- journal article
- Language
- en
- Open access
- diamond
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