R Observatory: Metrics for shinyML version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

shinyML

1.0.1Package record

Compare Supervised Machine Learning Models Using Shiny App

0packages depend

3.3Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Jean BertinCRAN page ↗GitHub ↗Website ↗Issues ↗

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).

Changes in 1.0.1

New features

**Histogram plots** on shiny_h2o and shiny_spark functions now integrate density curves.
shiny_h2o and shiny_spark functions ensure **reproducibility** of results when user reproduce the same parameters for a given machine learning model
shiny_h2o and shiny_spark functions now work with an input dataset that contains a **POSIXct** column

From NEWS.md in the release

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. 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-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

Check messages

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Jean Bertin <jean.bertin@mines-paris.org>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Jean",
                    family = "Bertin",
                    role = c("aut", "cre"),
                    email = "jean.bertin@mines-paris.org")
as necessary.

CRAN check page ↗

Slowest check: 2.6 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTE2026-06-09
ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
NOTE9 OK, 5 NOTE2026-04-08
ERROR8 OK, 5 NOTE, 1 ERROR2026-04-07
NOTE9 OK, 5 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.1

READMEYes · 532 wordsVignettes· In the repository, left out of the releaseNEWSYes · 100% structured · mentions 1.0.1Citation fileNoWebsiteYes

Help pages: 2
Examples that run: 0%2 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 0%
Help pages citing references: 0%

How these are measured

Downloads

3.3K

CRAN downloads in the past year

Rank #12,244 · ~9/day · ~271/mo

Releases R versions

Daily download trend is not available in this view yet.

41930 days

89990 days

3.3K1 year

Compare downloads with other packages →

Also on70 r2u

How downloads are counted

Repository

jeanbertinr/shinyml ↗Account: JeanBertinR

61Stars

15Forks

2Open issues

1Open PRs

0Releases

329Commits

4Commit identities

329 commits · Last activity 2021-02-24 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 3
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2025-04-08 · 602026-09-15 · 61

How these are measured

PracticesBeta

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

Checks run against github.com/jeanbertinr/shinyml on 2026-10-18.

Continuous integration (2)

Travis CI (config file)AppVeyor

Docs source (1)

README.Rmd

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

20 external dependencies (excludes base and recommended)

Installing shinyML adds 92 packages (46 with compiled code, 82 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

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.

How these are counted

Code & Tests

People & History

People (from the free-text Author field) (1)

Jean Bertin

Maintainer since 0.1.0 (2019)

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
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
record
2021-02-24 · current release · diff ↗
1.0.0
record
2020-10-03 · diff ↗ ·
removed 2 exports
shiny_h2o, shiny_spark

added 2 exports
shinyML_classification, shinyML_regression
R
R 4.0.0 released · 2020-04-24
0.2.0
record
2019-10-29 · diff ↗
0.1.1
record
2019-08-09 · diff ↗
0.1.0
record
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

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 v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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