CRAN/E | HRM

HRM

High-Dimensional Repeated Measures

Installation

About

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.

Citation HRM citation info
github.com/happma/HRM
System requirements C++11
Bug report File report

Key Metrics

Version 1.2.1
R ≥ 3.4.0
Published 2020-02-06 1553 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks HRM results

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Maintainer

Maintainer

Martin Happ

martin.happ@aon.at

Authors

Martin Happ

aut / cre

Harrar W. Solomon

aut

Arne C. Bathke

aut

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

HRM archive

Depends

R ≥ 3.4.0
MASS
matrixcalc
plyr
ggplot2

Imports

xtable
reshape2
tcltk
data.table
doBy
mvtnorm
Rcpp ≥0.12.16
pseudorank ≥ 0.3.8

Suggests

RGtk2 ≥ 2.8.0
cairoDevice
testthat

LinkingTo

Rcpp