R Observatory: Metrics for heplots version 1.8.6

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

heplots

1.8.6

Visualizing Hypothesis Tests in Multivariate Linear Models

5packages dependsuggested by 4

96.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Michael FriendlyCRAN page ↗GitHub ↗Website ↗Issues ↗

Provides HE plot and other functions for visualizing hypothesis tests in multivariate linear models. HE plots represent sums-of-squares-and-products matrices for linear hypotheses and for error using ellipses (in two dimensions) and ellipsoids (in three dimensions). It also provides other tools for analysis and graphical display of the models such as robust methods and homogeneity of variance covariance matrices. The related 'candisc' package provides visualizations in a reduced-rank canonical discriminant space when there are more than a few response variables.

Changes in 1.8.6

Enhancements

Added a two-page cheatsheet, heplots-cheatsheet.pdf, linked from the README and the pkgdown navbar, to provide a visual overview of the package.
Added a robmlm.mlm() method so robmlm() can be called directly on an existing classical mlm fit (e.g., robmlm(mod)) instead of restating the formula and data. The result records its call as robmlm(formula = , data = , ...), just as if it had been fit from the formula, so update() works on it. Arguments that would change the model frame (subset, weights, data, ...) now signal an error rather than being silently ignored; set them in the lm() call, or use update() on the result. Other arguments must be named (e.g., robmlm(mod, P = 0.01)), since an unnamed one would be taken as P.
Doc fix: Clarified the **significance interpretation** of HE plots in heplot(), heplot3d(), the README and the HE_manova vignette: **H** protrudes outside **E** somewhere in the *full* response space iff the term is significant by Roy's test, but in a 2D (or 3D) view the rule works one way only. **H** outside **E** means significant; **H** inside **E** does not mean "not significant". The alpha argument of heplot1d() is now correctly described as referring to the univariate F test for the response shown.

Show all changes in 1.8.6Hide the rest of the changes in 1.8.6

Bug fixes

Fixed termMeans(): when the data were not sorted in factor-level order, the row labels were attached to the wrong means (e.g., peng species, or the Plastic rate:additive cells in the HE_manova vignette). This also affected the mean labels in heplot1d(). Rows are now in **factor-level order** (first factor varying fastest), and empty cells are dropped instead of causing an error.
Fixed eigstatCI(): the "pooled" statistic was computed from the total covariance matrix cov(Y), ignoring groups, so it included the between-group variation. It now uses the pooled within-group covariance matrix, as in boxM()$pooled, and bootstraps it by resampling within groups. This changes the "pooled" point and CI in plot_boxM_boot(). This achieves a long-standing goal to make the plot methods related to boxM() more general, using bootstrap methods instead of asymptotic theory.
Fixed label.ellipse(): the diagonal positions label.pos = "SE" and "NW" were swapped. The documentation for a fractional label.pos now says correctly that it is measured counterclockwise from East (0 = right, 0.25 = top).
Fixed covEllipses(): label.pos = NULL, documented as giving automatic label positions, failed with "cannot replicate NULL". It now works. The documentation also wrongly said NULL was the default; the default is 0 (the ellipse center), and is unchanged.
Fixed pvPlot() for tibbles (e.g., peng): it failed with "invalid type (list)", because selecting one column of a tibble does not give a vector. X is now converted with as.data.frame().

From NEWS.md in the release

Install

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

install.packages("heplots", 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("friendly/heplots")

Development version from friendly/heplots. 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-heplots

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-heplots

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-heplots

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: 4.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-20
ERROR12 OK, 1 ERROR2026-08-18
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 4 earlier changesHide 4 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-02
ERROR11 OK, 1 ERROR2026-04-25
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.8.6

README· In the repository, left out of the releaseVignettesYes · 4 · dynamicNEWSYes · 100% structured · mentions 1.8.6Citation fileYes · cites a publicationWebsiteYes · pkgdown

Cites a JSS article

Help pages: 83 (2 internal)includes a package overview page
Examples that run: 96%74 run in a plain check · 2 never run · 1 hold no code
Exported functions with examples: 90%
Documented parameters: 87%
Return-value docs: 90%
Help pages citing references: 46%

Also includes 4 demo scripts (run with demo())

Vignettes (4)

How these are measured

Downloads

96.3K

CRAN downloads in the past year

Rank #1,394 · ~264/day · ~8K/mo

Releases R versions

Daily download trend is not available in this view yet.

7.5K30 days

19.5K90 days

96.3K1 year

Compare downloads with other packages →

Also on461 r2u4 autocran3.1K conda_forge155 c2d4u

How downloads are counted

Repository

friendly/heplots ↗Account: friendly

14Stars

5Forks

2Open issues

1Open PRs

15Releases

894Commits

7Commit identities

multivariate-linear-modelsmatricesrepeated-measure-designsplotlinear-hypothesesvisualizing-hypothesis-tests

894 commits · Last activity 2026-10-04 · +27.3% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 100
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2026-07-14 · 112026-10-10 · 14

How these are measured

PracticesBeta

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

Checks run against github.com/friendly/heplots on 2026-10-11.

Docs source (3)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-10-04

pkgdown site last built 2026-10-02, before release 1.8.6 (2026-10-04)

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdrevdep/

Research and citation (1)

CITATION.cff

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

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2025-12-02
Seen in the repository: .claude, CLAUDE.md
Named in .Rbuildignore: .claude, CLAUDE.md
Named in .gitignore: .claude
Commits: at least 40 crediting it in the message
Codexfirst seen 2026-08-23
Commits: at least 2 crediting it in the message

Shared conventions any agent may read, so they name no particular tool.

Seen in the repository: AGENTS.md

Models named in its commits

Claude Sonnet 536 commits · Jul to Sep 2026
Claude Opus 5.54 commits · Sep to Oct 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

40 external dependencies (excludes base and recommended)

Installing heplots adds 83 packages (45 with compiled code, 76 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (1)

R >= 4.1.0

Imports (12)

car genericsMASSgraphicsgrDevicesstatsmagrittr purrr rgl tibblebootglue

LinkingTo (0)

none

Suggests (37)

broom candisc carData lmtest effects reshape gplotsnlmelatticereshape2 corrgram animation mvinfluence knitr litedown rmarkdown markdown dplyr tidyr ggplot2 bookdown patchwork tinytable here htmltools Sleuth2 rrcov archdata qqtest ggbiplot vcdExtraKernSmoothaplpackforeignrobustbase effectsize parameters

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

5direct

2indirect

Depends 2 · Imports 3

Suggested by 4

Depends, Imports or LinkingTo, most downloaded first

candisc mvinfluence ICSClust MorphoTools2 volker

Suggests, most downloaded first

effects HistData Guerry latentnet

How these are counted

Code & Tests

Datasets

People & History

People (6)

Michael Friendly

Author, Maintainer since 0.8-5 (2009)

John Fox

Author

Georges Monette

Author

Phil Chalmers

Contributor · added in 1.3-7

Gavin Klorfine

Contributor · added in 1.8.6

Duncan Murdoch

Contributor · added in 1.6.0

Previously maintained by John Fox (0.8-0 to 0.8-4).

Releases (49)

Pick two releases to compare their code metrics.

1.8.6Latest
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2026-10-04 · current release · diff ↗
1.8.5
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2026-09-13 · diff ↗ ·
added 4 exports
glance, stdcoef, stdmodel, traceCI
1.8.4
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2026-08-23 · diff ↗ ·
added 4 exports
eigstatCI, eigstatCI_boxM, plot_boxM_boot, pvPlot
R
R 4.6.0 released · 2026-04-24
1.8.1
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2025-12-07 · diff ↗ ·
added 1 export
text_usr
1.7.8
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2025-08-19 · diff ↗ ·
added 2 exports
distancePlot, rel_diff
1.7.5
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2025-05-24 · diff ↗
1.7.4
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2025-04-16 · diff ↗ ·
added 1 export
noteworthy
R
R 4.5.0 released · 2025-04-11
1.7.3
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2024-12-22 · diff ↗ ·
added 1 export
uniStats
1.7.1
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2024-11-24 · diff ↗
1.7.0
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2024-05-02 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.6.2
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2024-02-15 · diff ↗ ·
added 3 exports
df.terms, ellipse.axes, ellipse.box
1.6.0
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2023-09-05 · diff ↗ ·
added 2 exports
Ellipsoid, bbox3d
R
R 4.3.0 released · 2023-04-21

Show 59 earlier eventsHide 59 earlier events

1.4-2
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2022-10-20 · diff ↗
1.4-1
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2022-10-02 · diff ↗ ·
added 1 export
glance.mlm
R
R 4.2.0 released · 2022-04-22
1.3-9
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2021-10-06 · diff ↗
R
R 4.1.0 released · 2021-05-18
1.3-8
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2021-01-21 · diff ↗
1.3-7
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2020-10-28 · diff ↗
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
1.3-5
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2018-04-03 · diff ↗
1.3-4
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2017-09-15 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.3-3
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2016-10-21 · diff ↗
1.3-1
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2016-06-14 · diff ↗
1.3-0
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2016-06-04 · diff ↗
1.2-0
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2016-05-19 · diff ↗ ·
added 4 exports
bartlettTests, leveneTests, Mahalanobis, cqplot
R
R 3.3.0 released · 2016-05-03
1.1-0
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2016-03-26 · diff ↗ ·
added 4 exports
boxM, covEllipses, colDevs, logdetCI
1.0-16
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2015-07-13 · diff ↗
1.0-15
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2015-04-18 · diff ↗ ·
removed 2 exports
robmlm.default, robmlm.formula
R
R 3.2.0 released · 2015-04-16
1.0-12
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2014-07-02 · diff ↗
R
R 3.1.0 released · 2014-04-10
1.0-11
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2013-08-21 · diff ↗
1.0-8
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2013-04-11 · diff ↗
R
R 3.0.0 released · 2013-04-03
1.0-7
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2013-02-08 · diff ↗ ·
added 2 exports
label.ellipse, coefplot
1.0-5
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2013-01-13 · diff ↗ ·
added 1 export
interpPlot
1.0-2
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2012-12-17 · diff ↗ ·
added 3 exports
robmlm, robmlm.default, robmlm.formula
1.0-0
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2012-08-08 · diff ↗
0.9-12
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2012-05-17 · diff ↗
R
R 2.15.0 released · 2012-03-30
0.9-11
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2012-02-12 · diff ↗
R
R 2.14.0 released · 2011-10-31
0.9-10
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2011-10-17 · diff ↗
0.9-8
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2011-05-21 · diff ↗ ·
added 1 export
trans.colors
R
R 2.13.0 released · 2011-04-13
0.9-6
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2010-11-02 · diff ↗
R
R 2.12.0 released · 2010-10-15
0.9-5
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2010-10-05 · diff ↗
0.9-4
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2010-09-29 · diff ↗ ·
added 1 export
termMeans
0.9-3
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2010-07-29 · diff ↗ ·
added 7 exports
cross3d, statList, covList, colMeansList, arrow3d, etasq, gsorth
R
R 2.11.0 released · 2010-04-22
0.8-11
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2009-12-23 · diff ↗ ·
added 1 export
mark.H0
R
R 2.10.0 released · 2009-10-26
0.8-10
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2009-10-13 · diff ↗
0.8-9
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2009-07-23 · diff ↗ ·
added 2 exports
heplot1d, ellipse3d.axes
0.8-6
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2009-04-19 · diff ↗
R
R 2.9.0 released · 2009-04-17
0.8-5
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2009-04-03 · diff ↗
0.8-4
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2008-11-19 · diff ↗
0.8-1
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2008-11-03 · diff ↗
R
R 2.8.0 released · 2008-10-20
R
R 2.7.0 released · 2008-04-22
R
R 2.6.0 released · 2007-10-03
R
R 2.5.0 released · 2007-04-24
0.8-0
record
2007-02-01
R
R 2.4.0 released · 2006-10-03

Package metadata

First published: 2007-02-01
Total releases: 49 / 19 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 4.1.0
Bundled data: 110 KB / 37 files
Download size: 4.0 MB

Appears in task views

Psychometric Models and Methods

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("heplots")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

The repository also keeps a CITATION.cff.

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 heplots version 1.8.6 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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