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mildsvm

0.4.2Package record

Multiple-Instance Learning with Support Vector Machines

0packages depend
2.7Kdownloads / year
46.0%test coverage
13/13flavors OK

Overview

About

Weakly supervised (WS), multiple instance (MI) data lives in numerous interesting applications such as drug discovery, object detection, and tumor prediction on whole slide images. The 'mildsvm' package provides an easy way to learn from this data by training Support Vector Machine (SVM)-based classifiers. It also contains helpful functions for building and printing multiple instance data frames. The core methods from 'mildsvm' come from the following references: Kent and Yu (2024) doi:10.1214/24-AOAS1876; Xiao, Liu, and Hao (2018) doi:10.1109/TNNLS.2017.2766164; Muandet et al. (2012) https://proceedings.neurips.cc/paper/2012/file/9bf31c7ff062936a96d3c8bd1f8f2ff3-Paper.pdf; Chu and Keerthi (2007) doi:10.1162/neco.2007.19.3.792; and Andrews et al. (2003) https://papers.nips.cc/paper/2232-support-vector-machines-for-multiple-instance-learning.pdf. Many functions use the 'Gurobi' optimization back-end to improve the optimization problem speed; the 'gurobi' R package and associated software can be downloaded from https://www.gurobi.com after obtaining a license.

Changes in 0.4.2
  • Minor fix to tests to pass CRAN checks on MKL

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-08
  • ERROR12 OK, 1 ERROR2026-06-07
  • OK12 OK2026-04-25
Show 1 earlier changeHide 1 earlier change
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.4.2
READMEYes · 823 wordsVignettesNoNEWSYes · 100% structured · mentions 0.4.2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
34 (1 internal)includes a package overview page
Examples that run
100%32 run in a plain check
Exported functions with examples
100%
Documented parameters
61%
Return-value docs
100%
Help pages citing references
21%

Downloads

2.7K
CRAN downloads in the past year
Rank #15,191 · ~7/day · ~226/mo
Daily download trend is not available in this view yet.
41930 days
78790 days
2.7K1 year
Compare downloads with other packages →
Also on77 r2u15 autocran

Repository

3Stars
0Forks
18Open issues
0Open PRs
7Releases
191Commits
2Commit identities
multiple-instance-learningordinalrsvmweakly-supervised-learningdistributional-data
191 commits · Last activity 2026-10-02 · 0% stars, 30d · Default branch at 0.4.2.9000, ahead of CRAN 0.4.2 (checked 2026-10-11)
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
78
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-09-04 · 32026-07-07 · 3
PracticesBeta

8 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/skent259/mildsvm on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)
README.Rmd
Coverage (1)
Coverage reporting (Codecov)
Reproducibility and dev environment (1)
data-raw/
Show all practicesHide 2 practices
CRAN release process (1)
cran-comments.md
Lint, format, editor (2)
lintrRStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)

Installing mildsvm adds 26 packages (18 with compiled code, 22 MB of source tarballs). Heaviest: stringi 11 MB, Rcpp 1.8 MB, kernlab 1.0 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (4)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.4.0 (2022)
Releases (3)

Pick two releases to compare their code metrics.

  • 0.4.2Latest
    record
    2026-09-27 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.4.1
    record
    2025-08-20 · diff ↗
  • 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
  • 0.4.0
    record
    2022-07-14
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-07-14
Total releases
3 / 4 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Bundled data
41 KB / 1 file
Download size
336 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mildsvm")
Kent, S., & Liou, Y. (2026). mildsvm: Multiple-Instance Learning with Support Vector Machines (Version 0.4.2) [Computer software]. https://doi.org/10.32614/CRAN.package.mildsvm

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mildsvm version 0.4.2 [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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