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HRM  

High-Dimensional Repeated Measures
View on CRAN: Click here


Download and install HRM package within the R console
Install from CRAN:
install.packages("HRM")

Install from Github:
library("remotes")
install_github("cran/HRM")

Install by package version:
library("remotes")
install_version("HRM", "1.2.1")



Attach the package and use:
library("HRM")
Maintained by
Martin Happ
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-08-11
Latest Update: 2020-02-06
Description:
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.
How to cite:
Martin Happ (2015). HRM: High-Dimensional Repeated Measures. R package version 1.2.1, https://cran.r-project.org/web/packages/HRM. Accessed 01 May. 2025.
Previous versions and publish date:
0.1 (2015-08-11 08:22), 0.3.5 (2016-05-04 12:46), 0.4.3 (2016-11-15 07:16), 0.5.0 (2017-02-28 23:03), 0.5.1 (2017-03-21 16:20), 0.6.9 (2017-08-04 19:20), 0.7.1 (2017-08-13 23:04), 0.7.4 (2017-10-27 13:44), 0.8.0 (2018-02-14 11:05), 0.9.1 (2018-04-23 23:15), 1.0.2 (2018-10-18 00:20), 1.2.1 (2020-02-06 15:50)
Other packages that cited HRM R package
View HRM citation profile
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