Package: nparMD 0.2.1
Maximilian Kiefel
nparMD: Nonparametric Analysis of Multivariate Data in Factorial Designs
Analysis of multivariate data with two-way completely randomized factorial design. The analysis is based on fully nonparametric, rank-based methods and uses test statistics based on the Dempster's ANOVA, Wilk's Lambda, Lawley-Hotelling and Bartlett-Nanda-Pillai criteria. The multivariate response is allowed to be ordinal, quantitative, binary or a mixture of the different variable types. The package offers two functions performing the analysis, one for small and the other for large sample sizes. The underlying methodology is largely described in Bathke and Harrar (2016) <doi:10.1007/978-3-319-39065-9_7> and in Munzel and Brunner (2000) <doi:10.1016/S0378-3758(99)00212-8>.
Authors:
nparMD_0.2.1.tar.gz
nparMD_0.2.1.tar.gz(r-4.5-noble)nparMD_0.2.1.tar.gz(r-4.4-noble)
nparMD_0.2.1.tgz(r-4.4-emscripten)nparMD_0.2.1.tgz(r-4.3-emscripten)
nparMD.pdf |nparMD.html✨
nparMD/json (API)
| # Install 'nparMD' in R: |
| install.packages('nparMD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- pseudostudy1 - Pseudostudy dataset 1
- pseudostudy2 - Pseudostudy dataset 2
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:235c47daa4. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 27 2024 |
| R-4.5-linux | OK | Nov 27 2024 |
Dependencies:FormulagtoolsMASSmatrixcalcmatrixStats
