Implemented are various tests for semi-parametric repeated measures and general MANOVA designs that do neither assume multivariate normality nor covariance homogeneity, i.e., the procedures are applicable for a wide range of general multivariate factorial designs. In addition to asymptotic inference methods, novel bootstrap and permutation approaches are implemented as well. These provide more accurate results in case of small to moderate sample sizes. Furthermore, post-hoc comparisons are provided for the multivariate analyses. Friedrich, S., Konietschke, F. and Pauly, M. (2019) <doi:10.32614/RJ-2019-051>.
Version: 0.5.4 Depends: R (≥ 3.4.0) Imports: plyr (≥ 1.8.4), MASS (≥ 7.3-51), Matrix (≥ 1.2-17), magic (≥ 1.5-9), plotrix (≥ 3.5-12), parallel, methods, ellipse, multcomp, data.table (≥ 1.12.6) Suggests: nparLD, knitr, rmarkdown, HSAUR3, tidyr (≥ 1.0.0), ggplot2, GFD, testthat Published: 2023-08-25 DOI: 10.32614/CRAN.package.MANOVA.RM Author: Sarah Friedrich, Frank Konietschke, Markus Pauly Maintainer: Sarah Friedrich <sarah.friedrich at math.uni-augsburg.de> BugReports: https://github.com/smn74/MANOVA.RM/issues License: GPL-2 | GPL-3 URL: https://github.com/smn74/MANOVA.RM NeedsCompilation: no Materials: NEWS CRAN checks: MANOVA.RM results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=MANOVA.RM to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4