Package: HRM 1.3.0

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.

Authors:Martin Happ [aut, cre], Solomon W. Harrar [aut], Arne C. Bathke [aut]

HRM_1.3.0.tar.gz
HRM_1.3.0.zip(r-4.7-x86_64)HRM_1.3.0.zip(r-4.7-arm64)HRM_1.3.0.zip(r-4.6-x86_64)HRM_1.3.0.zip(r-4.6-arm64)HRM_1.3.0.zip(r-4.5-x86_64)
HRM_1.3.0.tgz(r-4.6-x86_64)HRM_1.3.0.tgz(r-4.6-arm64)HRM_1.3.0.tgz(r-4.5-x86_64)HRM_1.3.0.tgz(r-4.5-arm64)
HRM_1.3.0.tar.gz(r-4.7-arm64)HRM_1.3.0.tar.gz(r-4.7-x86_64)HRM_1.3.0.tar.gz(r-4.6-arm64)HRM_1.3.0.tar.gz(r-4.6-x86_64)
HRM_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
HRM/json (API)

# Install 'HRM' in R:

install.packages('HRM', repos = c('https://happma.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/happma/hrm/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

EEG - EEG data of 160 subjects

On CRAN:

high-dimensional-data longitudinal-data cpp

3.74 score 11 scripts 603 downloads 60 mentions 3 exports 55 dependencies

Last updated from:de0c87a85a. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	216
linux-devel-x86_64	OK	222
source / vignettes	OK	199
linux-release-arm64	OK	221
linux-release-x86_64	OK	273
macos-release-arm64	OK	253
macos-release-x86_64	OK	517
macos-oldrel-arm64	OK	274
macos-oldrel-x86_64	OK	551
windows-devel-arm64	OK	489
windows-devel-x86_64	OK	424
windows-release-arm64	OK	477
windows-release-x86_64	OK	330
windows-oldrel-x86_64	OK	354
wasm-release	OK	118

Exports:hrm_test hrm.test.dataframe hrm.test.matrix

Dependencies:backports boot broom cli colorspace cowplot cpp11 data.table Deriv doBy dplyr farver forecast fracdiff generics ggplot2 glue gtable isoband labeling lattice lifecycle lmtest magrittr MASS Matrix matrixcalc modelr mvtnorm nlme nnet pillar pkgconfig plyr pseudorank purrr R6 RColorBrewer Rcpp RcppArmadillo rlang S7 scales stringi stringr tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Inference on Low- and High-Dimensional Multi-Group Repeated Measures Designs with Unequal Covariance Matrices	HRM-package HRM
Function to calculate confidence intervals	confint.HRM
EEG data of 160 subjects	EEG
Test for Multi-Factor High-Dimensional Repeated Measures	hrm_test hrm_test.data.frame hrm_test.list
Plotting Profile Curves	plot.HRM