R Observatory: Metrics for HRM version 1.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

HRM

1.3.0Package record

High-Dimensional Repeated Measures

0packages depend

792downloads / year

79.3%test coverage

13/13flavors OK

Overview

About

Maintained by Martin HappCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 1.3.0

First release after the package was archived on CRAN on 2024-04-20. The

issues that led to the archival are addressed below.

Breaking changes

The graphical user interface has been removed: hrm_GUI() and the deprecated hrm.GUI() are gone. It was built on 'RGtk2', which was orphaned and archived from CRAN on 2021-12-15, and on 'tcltk'. Both dependencies have been dropped.
Multivariate repeated measures have been removed. The variable argument of hrm_test() no longer exists, and passing it is an error. The feature shipped without any active test coverage; the code is retained outside the package for future work.

Bug fixes

Show all changes in 1.3.0Hide the rest of the changes in 1.3.0

confint() no longer fails for designs with a whole-plot factor. It previously aborted with missing value where TRUE/FALSE needed, which affected every such design, parametric and nonparametric alike, including the example given in the README. The cause is an upstream failure of mvtnorm::qmvnorm() on larger correlation matrices. confint() now tries progressively weaker forms of multiplicity control and reports which one was used in attr(, "status"): 1. family-wise error rate over all factor level combinations, 2. family-wise error rate within each whole-plot group, 3. a Sidak correction within each group, 4. none, in which case the interval columns are NA. Results for designs without a whole-plot factor are unchanged.
Stale @param entries were removed from 16 help pages, where documented arguments did not exist in the corresponding functions.
plot() on an unsupported design now raises an error instead of printing a message and returning invisibly.

Improvements

confint() is considerably faster. The correlation matrix was built with a double loop performing three matrix products per cell; stats::cov2cor() gives an identical result in a fraction of the time.
Fewer dependencies. xtable, tcltk, reshape2 and RGtk2 are no longer used, and MASS moved to Suggests. MASS, matrixcalc, plyr and ggplot2 moved from Depends to Imports, so loading HRM no longer attaches them to the search path. Code that relied on this must now attach them itself, for example library(ggplot2) before passing theme objects to plot().
R (>= 4.2.0) is now required, which reflects what the dependency tree can actually be installed on.
Tests no longer assert the exact class vector of 'ggplot2' objects, which changed in 'ggplot2' 4.0.
Test coverage added for confint() on whole-plot designs, which was previously untested entirely.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("HRM", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("happma/HRM")

Development version from happma/HRM. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-hrm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-HRM

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-HRM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 9.5 min · r-oldrel-windows-x86_64

Status changes

OK13 OKNow
OK6 OK2026-09-12

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.3.0

READMEYes · 187 wordsVignettesNoNEWSYes · 100% structured · mentions 1.3.0Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 48 (43 internal)includes a package overview page
Examples that run: 100%4 run in a plain check
Exported functions with examples: 50%
Documented parameters: 50%
Return-value docs: 100%
Help pages citing references: 2%

How these are measured

Downloads

792

CRAN downloads in the past year

Rank #15,870 · ~2/day · ~66/mo

Releases R versions

Daily download trend is not available in this view yet.

59230 days

77990 days

7921 year

Compare downloads with other packages →

Also on296 r2u2 autocran

How downloads are counted

Repository

happma/hrm ↗Account: happma

0Stars

0Forks

0Open issues

0Open PRs

2Releases

86Commits

5Commit identities

rhigh-dimensional-datalongitudinal-datarstats

86 commits · Last activity 2026-08-31

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

How these are measured

PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/happma/hrm on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing HRM adds 49 packages (29 with compiled code, 49 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 4.2.0

Imports (8)

ggplot2 matrixcalc plyr data.table doBy mvtnorm Rcpp (>= 0.12.16)pseudorank

LinkingTo (1)

Rcpp

Suggests (2)

MASStestthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Martin Happ

Author, Maintainer · added in 1.3.0

Arne C. Bathke

Author · added in 1.3.0

Solomon W. Harrar

Author · added in 1.3.0

Maintainer since 0.1 (2015)

Releases (13)

Pick two releases to compare their code metrics.

unarchivedReturned to CRAN
2026-09-11
1.3.0Latest
record
2026-09-11 · current release · diff ↗ ·
removed 2 exports
hrm.GUI, hrm_GUI
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
archivedRemoved from CRAN
2024-04-20
issues were not corrected despite reminders
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
1.2.1
record
2020-02-06 · diff ↗
R
R 3.6.0 released · 2019-04-26
1.0.2
record
2018-10-17 · diff ↗
0.9.1
record
2018-04-23 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.8.0
record
2018-02-14 · diff ↗ ·
removed 3 exports
hrm.test, hrm.test.2, hrm.plot

added 1 export
hrm_GUI

Show 11 earlier eventsHide 11 earlier events

0.7.4
record
2017-10-27 · diff ↗
0.7.1
record
2017-08-13 · diff ↗
0.6.9
record
2017-08-04 · diff ↗ ·
added 1 export
hrm.GUI
R
R 3.4.0 released · 2017-04-21
0.5.1
record
2017-03-21 · diff ↗
0.5.0
record
2017-02-28 · diff ↗
0.4.3
record
2016-11-15 · diff ↗ ·
added 3 exports
hrm.test.matrix, hrm.test.dataframe, hrm_test
0.3.5
record
2016-05-04 · diff ↗ ·
removed 5 exports
hrm.A.weighted, hrm.A.unweighted, hrm.B, hrm.AB, hrm.A_B

added 2 exports
hrm.test.2, hrm.plot
R
R 3.3.0 released · 2016-05-03
0.1
record
2015-09-08
R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2015-09-08
Total releases: 13 / 11 yrs
License: GPL-2 | GPL-3 OSI
Minimum R: ≥ 4.2.0
Bundled data: 50 KB / 1 file
Download size: 93 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("HRM")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1080/15598608.2017.1307792.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for HRM version 1.3.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →