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HRM: High-Dimensional Repeated Measures
Methods for testing main and interaction effects in possibly high-dimensional parametric or nonparametric repeated measures in factorial designs for univariate or multivariate data. The observations of the subjects are assumed to be multivariate normal if using the parametric test. The nonparametric version tests with regard to nonparametric relative effects (based on pseudo-ranks). It is possible to use up to 2 whole- and 3 subplot factors.
Getting started
Browse package contents
Package details |
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| Author | Martin Happ [aut, cre] (<https://orcid.org/0000-0003-0009-2665>), Harrar W. Solomon [aut], Arne C. Bathke [aut] |
| Maintainer | Martin Happ <martin.happ@aon.at> |
| License | GPL-2 | GPL-3 |
| Version | 1.2.1 |
| URL | http://github.com/happma/HRM |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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