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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. 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. See Happ et al. (2017, <doi:10.1080/15598608.2017.1307792>) for details.

Versions across snapshots

VersionRepositoryFileSize
1.3.0 rolling linux/jammy R-4.5 HRM_1.3.0.tar.gz 397.0 KiB
1.3.0 rolling linux/noble R-4.5 HRM_1.3.0.tar.gz 399.9 KiB
1.3.0 rolling source/ R- HRM_1.3.0.tar.gz 91.9 KiB
1.3.0 latest linux/jammy R-4.5 HRM_1.3.0.tar.gz 397.0 KiB
1.3.0 latest linux/noble R-4.5 HRM_1.3.0.tar.gz 399.9 KiB
1.3.0 latest source/ R- HRM_1.3.0.tar.gz 91.9 KiB
1.3.0 2026-04-23 source/ R- HRM_1.3.0.tar.gz 0 B

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