https://frankkonietschke.r-universe.devRecent package updates in frankkonietschkeR-universehttps://github.com/frankkonietschke.pnghttps://frankkonietschke.r-universe.devSat, 06 Aug 2022 23:00:02 GMTfrank.konietschke@charite.de (Frank Konietschke)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.https://github.com/r-universe/frankkonietschke/actions/runs/28573339738Sat, 06 Aug 2022 23:00:02 GMTnparLD2.2successhttps://frankkonietschke.r-universe.devhttps://github.com/cran/nparLDfrank.konietschke@charite.de (Frank Konietschke)The rankFD() function calculates the Wald-type statistic (WTS) and the ANOVA-type statistic (ATS) for nonparametric factorial designs, e.g., for count, ordinal or score data in a crossed design with an arbitrary number of factors. Brunner, E., Bathke, A. and Konietschke, F. (2018) <doi:10.1007/978-3-030-02914-2>.https://github.com/r-universe/frankkonietschke/actions/runs/28573341040Wed, 23 Mar 2022 09:10:08 GMTrankFD0.1.1successhttps://frankkonietschke.r-universe.devhttps://github.com/cran/rankFD