R Observatory: Metrics for shinyML version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

shinyML

1.0.1

Compare Supervised Machine Learning Models Using Shiny App

0packages depend

3.1Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Jean BertinFirst published 2019-07-305 releasesCRAN page ↗GitHub ↗

Implementation of a shiny app to easily compare supervised machine learning model performances. You provide the data and configure each model parameter directly on the shiny app. Different supervised learning algorithms can be tested either on Spark or H2O frameworks to suit your regression and classification tasks. Implementation of available machine learning models on R has been done by Lantz (2013, ISBN:9781782162148).

Install

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

install.packages("shinyML", 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("JeanBertinR/shinyML")

Development version from JeanBertinR/shinyML. 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-shinyml

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-shinyML

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

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

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 3.3 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

17

Dependencies · direct

Check history

NOTE2026-06-09
11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
11 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-04-08
9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-07
8 OK · 5 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 532 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 100%
Return-value docs: 0%
References docs: 0%

Downloads

3.1K

CRAN downloads in the past year

Rank #14,157 · ~9/day · ~259/mo

Releases R versions

Daily download trend is not available in this view yet.

19830 days

72490 days

3.1K1 year

Compare downloads with other packages →

Also on99 r2u

Repository

GitHub ↗ jeanbertinr/shinyml

60Stars

14Forks

2Open issues

0Open PRs

0Releases

329Commits

4Contributors

329 commits · Last activity 2021-02-24

Stars over time

2025-04-08 · 602026-07-07 · 60

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/jeanbertinr/shinyml on 2026-08-16.

Continuous integration (2)

Travis CIAppVeyor

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

20 external dependencies (excludes base and recommended)

Depends (2)

dplyr data.table

Imports (15)

shiny argonDash argonR shinyjs h2o shinyWidgets dygraphs plotly sparklyr tidyr DT ggplot2 shinycssloaders lubridategraphics

LinkingTo (0)

none

Suggests (4)

knitr rmarkdown covr testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (1)

Jean Bertin

no longer listed · 0.1.0 to 1.0.1

Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

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
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
1.0.1Latest
2021-02-24 · current release · diff ↗
1.0.0
2020-10-03 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.2.0
2019-10-29 · diff ↗
0.1.1
2019-08-09 · diff ↗
0.1.0
2019-07-30
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-07-30
Total releases: 5 / 7 yrs
License: GPL-3 OSI
Download size: 33 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("shinyML")

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 shinyML version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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