R Observatory: Metrics for MIRL version 1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2019-05-13. Its history is shown below.

Reason: not updated for R 3.6.0 despite reminders

Details below reflect version 1.0, its last release before removal.

MIRL

1.0Package record

Multiple Imputation Random Lasso for Variable Selection with Missing Entries

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Ying LiuCRAN page ↗

Implements a variable selection and prediction method for high-dimensional data with missing entries following the paper Liu et al. (2016) doi:10.1214/15-AOAS899. It deals with missingness by multiple imputation and produces a selection probability for each variable following stability selection. The user can further choose a threshold for the selection probability to select a final set of variables. The threshold can be picked by cross validation or the user can define a practical threshold for selection probability. If you find this work useful for your application, please cite the method paper.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/MIRL/MIRL_1.0.tar.gz"
pkgFile <- "MIRL_1.0.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.0) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 2
Examples that run: 100%2 run in a plain check
Exported functions with examples: 100%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 50%

How these are measured

Downloads

MIRL Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

How downloads are counted

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Depends (4)

glmnet miceMASSboot

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (4)

Contributor

Contributor

Contributor

Contributor

Maintainer since 1.0 (2018)

Releases (1)

R
R 4.0.0 released · 2020-04-24
archivedRemoved from CRAN
2019-05-13
not updated for R 3.6.0 despite reminders
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
1.0
record
2018-04-11
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2018-04-11
Total releases: 1 / 8 yrs
License: GPL-2 OSI

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MIRL")

Format

Liu, Y., Wang, Y., Feng, Y., & Wall, M. M. (n.d.). MIRL: Multiple Imputation Random Lasso for Variable Selection with Missing Entries (Version 1.0) [Computer software]. Retrieved October 27, 2026, from https://CRAN.R-project.org/package=MIRL

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 MIRL version 1.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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