R Observatory: Metrics for appRiori version 0.0.6

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

appRiori

0.0.6Package record

Code and Obtain Customized Planned Comparisons with 'appRiori'

0packages depend

3.1Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Umberto GranziolCRAN page ↗GitHub ↗Issues ↗

With 'appRiori' doi:10.1177/25152459241293110, users upload the research variables and the app guides them to the best set of comparisons fitting the hypotheses, for both main and interaction effects. Through a graphical explanation and empirical examples on reproducible data, it is shown that it is possible to understand both the logic behind the planned comparisons and the way to interpret them when a model is tested.

Install

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

install.packages("appRiori", 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("Ugranziol/appRiori")

Development version from Ugranziol/appRiori. 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-appriori

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-appRiori

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-appRiori

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: 2.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.0.6

READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 3
Examples that run: 50%1 run in a plain check · 1 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

3.1K

CRAN downloads in the past year

Rank #10,302 · ~9/day · ~261/mo

Releases R versions

Daily download trend is not available in this view yet.

36430 days

97590 days

3.1K1 year

Compare downloads with other packages →

Also on95 r2u27 autocran

How downloads are counted

Repository

ugranziol/appriori ↗Account: Ugranziol

2Stars

0Forks

0Open issues

0Open PRs

0Releases

64Commits

3Commit identities

License file reads as GPL-3.0 · 64 commits · Last activity 2025-02-27 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 4
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2023-12-06 · 22026-07-07 · 2

How these are measured

PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/ugranziol/appriori on 2026-10-11.

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

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

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing appRiori adds 64 packages (30 with compiled code, 56 MB of source tarballs). Heaviest: stringi 11 MB, bslib 5.6 MB, rhandsontable 3.5 MB.

Depends (0)

none

Imports (11)

dplyr DT hypr markdownMASSpracma rhandsontable shiny shinythemes sortable stringr

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (5)

Umberto Granziol

Author, Maintainer since 0.0.1 (2023)

Marcello Gallucci

Author · added in 0.0.5

Maximilian Rabe

Author

Andrea Spoto

Author

Giulio Vidotto

Author

Releases (5)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.0.6Latest
record
2025-02-27 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
0.0.5
record
2024-02-13 · diff ↗ ·
added 1 export
contrasts_summary
0.0.3
record
2023-08-11 · diff ↗
0.0.2
record
2023-04-28 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.0.1
record
2023-02-24
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2023-02-24
Total releases: 5 / 3 yrs
License: GPL (>= 3) OSI
Download size: 1.5 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("appRiori")

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

It points to 10.1177/25152459241293110.

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 appRiori version 0.0.6 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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