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MBMethPred

0.1.4.4

Medulloblastoma Subgroups Prediction

0packages depend
3Kdownloads / year
63.4%test coverage
11/13checks pass

Overview

About
Maintained by Edris Sharif RahmaniFirst published 2022-12-137 releasesCRAN page ↗GitHub ↗

Utilizing a combination of machine learning models (Random Forest, Naive Bayes, K-Nearest Neighbor, Support Vector Machines, Extreme Gradient Boosting, and Linear Discriminant Analysis) and a deep Artificial Neural Network model, 'MBMethPred' can predict medulloblastoma subgroups, including wingless (WNT), sonic hedgehog (SHH), Group 3, and Group 4 from DNA methylation beta values. See Sharif Rahmani E, Lawarde A, Lingasamy P, Moreno SV, Salumets A and Modhukur V (2023), MBMethPred: a computational framework for the accurate classification of childhood medulloblastoma subgroups using data integration and AI-based approaches. Front. Genet. 14:1233657. <doi: 10.3389/fgene.2023.1233657> for more details.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 5.4 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.07
63.4%
Coverage · measured lines
100%
Documentation · exports
20
Dependencies · direct
Check history
  • NOTE2026-07-11
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-25
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 1,225 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
79%
Documented parameters
100%
Return-value docs
100%
References docs
16%

Downloads

3K
CRAN downloads in the past year
Rank #15,928 · ~8/day · ~251/mo
Daily download trend is not available in this view yet.
14430 days
66090 days
3K1 year
Compare downloads with other packages →
Also on243 r2u19 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
1Releases
38Commits
2Contributors
38 commits · Last activity 2025-12-04

Repository practices

Upstream repositoryBeta

Checks run against github.com/sharifrahmanie/mbmethpred on 2026-08-16.

No development-tooling practices detected in the upstream repository.

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

Dependencies

Declared dependencies
21 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (6)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Contributor, Maintainer
Authors (3)
Author, Contributor, Maintainer
Author, Contributor
Author, Contributor
Contributors (3)
Author, Contributor, Maintainer
Author, Contributor
Author, Contributor
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.4.4Latest
    2025-12-04 · current release · diff ↗
  • 0.1.4.3
    2025-06-17 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.4.2
    2023-09-18 · diff ↗
  • 0.1.4
    2023-07-11 · diff ↗
  • 0.1.2
    2023-07-03 · diff ↗
  • 0.1.1
    2023-07-01 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.0
    2022-12-13
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-12-13
Total releases
7 / 4 yrs
License
GPL
Minimum R
≥ 3.5.0
Bundled data
2.9 MB / 4 files
Download size
3.0 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MBMethPred")
Sharif Rahmani, E., Modhukur, V., & Sunil Lawarde, A. (2025). MBMethPred: Medulloblastoma Subgroups Prediction (Version 0.1.4.4) [Computer software]. https://doi.org/10.32614/CRAN.package.MBMethPred

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MBMethPred version 0.1.4.4 [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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