R Observatory: Metrics for milr version 0.4.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

milr

0.4.1

Multiple-Instance Logistic Regression with LASSO Penalty

0packages depend

3.3Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Ping-Yang ChenFirst published 2016-07-145 releasesCRAN page ↗GitHub ↗

The multiple instance data set consists of many independent subjects (called bags) and each subject is composed of several components (called instances). The outcomes of such data set are binary or categorical responses, and, we can only observe the subject-level outcomes. For example, in manufacturing processes, a subject is labeled as "defective" if at least one of its own components is defective, and otherwise, is labeled as "non-defective". The 'milr' package focuses on the predictive model for the multiple instance data set with binary outcomes and performs the maximum likelihood estimation with the Expectation-Maximization algorithm under the framework of logistic regression. Moreover, the LASSO penalty is attached to the likelihood function for simultaneous parameter estimation and variable selection.

Install

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

install.packages("milr", 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("PingYangChen/milr")

Development version from PingYangChen/milr. 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-milr

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-milr

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-milr

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 5.3 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

6

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 22%

Downloads

3.3K

CRAN downloads in the past year

Rank #13,891 · ~9/day · ~278/mo

Releases R versions

Daily download trend is not available in this view yet.

16230 days

75790 days

3.3K1 year

Compare downloads with other packages →

Also on385 r2u24 autocran

Repository

GitHub ↗ pingyangchen/milr

10Stars

10Forks

0Open issues

0Open PRs

0Releases

156Commits

2Contributors

lasso-penaltymachine-learning

156 commits · Last activity 2025-09-19

Stars over time

2023-12-06 · 102026-07-07 · 10

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/pingyangchen/milr on 2026-08-23.

Continuous integration (2)

Travis CIAppVeyor

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

15 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.2.3

Imports (6)

utilspipeR numDeriv glmnet Rcpp RcppParallel

LinkingTo (3)

Rcpp RcppArmadillo RcppParallel

Suggests (7)

testthat knitr Hmisc rmarkdown data.table ggplot2 plyr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)

Maintainer (1)

Ping-Yang Chen

Author, Maintainer

Authors (4)

Author, Maintainer

Author

Author

Author

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
0.4.1Latest
2025-09-19 · current release · 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
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.3.1
2020-10-31 · diff ↗
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
0.3.0
2017-06-08 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.2.0
2017-01-10 · diff ↗
0.1.0
2016-07-14
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-07-14
Total releases: 5 / 10 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.2.3
Download size: 401 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("milr")

Format

Chen, P., Chang, S., Chen, C., & Yang, C. (2025). milr: Multiple-Instance Logistic Regression with LASSO Penalty (Version 0.4.1) [Computer software]. https://doi.org/10.32614/CRAN.package.milr

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for milr version 0.4.1 [Data set]. HJJB, LLC. Data release v2026-08-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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