R Observatory: Metrics for rmlnomogram version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

rmlnomogram

0.1.2Package record

Construct Explainable Nomogram for a Machine Learning Model

0packages depend

2Kdownloads / year

75.5%test coverage

11/13flavors OK

Overview

About

Maintained by Herdiantri SufriyanaCRAN page ↗

Construct an explainable nomogram for a machine learning (ML) model to improve availability of an ML prediction model in addition to a computer application, particularly in a situation where a computer, a mobile phone, an internet connection, or the application accessibility are unreliable. This package enables a nomogram creation for any ML prediction models, which is conventionally limited to only a linear/logistic regression model. This nomogram may indicate the explainability value per feature, e.g., the Shapley additive explanation value, for each individual. However, this package only allows a nomogram creation for a model using categorical without or with single numerical predictors. Detailed methodologies and examples are documented in our vignette, available at https://htmlpreview.github.io/?https://github.com/herdiantrisufriyana/rmlnomogram/blob/master/doc/ml_nomogram_exemplar.html.

Install

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

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

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

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-rmlnomogram

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-rmlnomogram

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-rmlnomogram

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

2NOTE11OK

Check messages

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

Maintainer: ‘Herdiantri Sufriyana <herdi@nycu.edu.tw>’

The Description field contains
  <https://htmlpreview.github.io/?https://github.com/herdiantrisufriyana/rmlnomogram/blob/master/doc/ml_nomogram_exemplar.html>.
Please enclose URLs in angle brackets (<...>).

CRAN check page ↗

Slowest check: 2.9 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTE2026-06-09
ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
NOTE11 OK, 2 NOTE2026-05-02
ERROR9 OK, 2 NOTE, 1 ERROR2026-04-25
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.2

READMEYes · 505 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 13
Examples that run: 100%1 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

Machine Learning Nomogram Exemplar

How these are measured

Downloads

2K

CRAN downloads in the past year

Rank #23,077 · ~6/day · ~171/mo

Releases R versions

Daily download trend is not available in this view yet.

19930 days

56590 days

2K1 year

Compare downloads with other packages →

Also on80 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Installing rmlnomogram adds 68 packages (33 with compiled code, 64 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, doBy 4.3 MB.

Depends (1)

R >= 4.4

Imports (9)

dplyr purrr broomstatsggplot2 ggpubr stringr tidyrutils

LinkingTo (0)

none

Suggests (6)

tidyverse knitr caret randomForest iml testthat (>= 3.0.0)

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 (2)

Herdiantri Sufriyana

Author, Maintainer since 0.1.2 (2025)

Emily Chia-Yu Su

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.1.2Latest
record
2025-01-08 · current release
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-01-08
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.4
Bundled data: 9.2 KB / 12 files
Download size: 1.4 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rmlnomogram")

Format

Sufriyana, H., & Su, E. C. (2025). rmlnomogram: Construct Explainable Nomogram for a Machine Learning Model (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.rmlnomogram

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 rmlnomogram version 0.1.2 [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.

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