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miselect

0.9.2

Variable Selection for Multiply Imputed Data

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3.2Kdownloads / year
0.0%test coverage
12/13checks pass

Overview

About
Maintained by Michael KleinsasserFirst published 2020-03-312 releasesCRAN page ↗

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
1NOTE12OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 3.6 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.07
0.0%
Coverage · measured lines
100%
Documentation · exports
0
Dependencies · direct
Check history
  • NOTE2026-08-01
    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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 554 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
25%
Documented parameters
75%
Return-value docs
100%
References docs
36%

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66290 days
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Dependencies

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

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Maintainer · added in 0.9.2
Authors (2)
Package Timeline

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

  • 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
    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
    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
Installed size
not tracked yet
With dependencies
not tracked yet
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