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miselect

0.9.2Package record

Variable Selection for Multiply Imputed Data

0packages depend
3.3Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

Penalized regression methods, such as lasso and elastic net, are used in many biomedical applications when simultaneous regression coefficient estimation and variable selection is desired. However, missing data complicates the implementation of these methods, particularly when missingness is handled using multiple imputation. Applying a variable selection algorithm on each imputed dataset will likely lead to different sets of selected predictors, making it difficult to ascertain a final active set without resorting to ad hoc combination rules. 'miselect' presents Stacked Adaptive Elastic Net (saenet) and Grouped Adaptive LASSO (galasso) for continuous and binary outcomes, developed by Du et al (2022) doi:10.1080/10618600.2022.2035739. They, by construction, force selection of the same variables across multiply imputed data. 'miselect' also provides cross validated variants of these methods.

Install

Health

CRAN checks
13OK
Slowest check: 3.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.9.2
READMEYes · 554 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · does not mention 0.9.2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
11
Examples that run
0%4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
75%
Return-value docs
100%
Help pages citing references
36%
Vignettes (1)

Downloads

3.3K
CRAN downloads in the past year
Rank #18,476 · ~9/day · ~273/mo
Daily download trend is not available in this view yet.
27530 days
69390 days
3.3K1 year
Compare downloads with other packages →
Also on68 r2u6 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing miselect adds no packages beyond those that come with R.

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

Nothing depends on this yet.

Datasets

People & History

People (3)
Maintainer since 0.9.2 (2024) · added in 0.9.2

Previously maintained by Alexander Rix (0.9.0).

Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.9.2Latest
    record
    2024-03-05 · current release · diff ↗
  • 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
  • R
    R 4.0.0 released · 2020-04-24
  • 0.9.0
    record
    2020-03-31
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-03-31
Total releases
2 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
37 KB / 1 file
Download size
64 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("miselect")
Kleinsasser, M., Du, J., & Rix, A. (2024). miselect: Variable Selection for Multiply Imputed Data (Version 0.9.2) [Computer software]. https://doi.org/10.32614/CRAN.package.miselect

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 miselect version 0.9.2 [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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