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Structured Screen-and-Select Variable Selection in Linear, Generalized Linear, and Survival Models

0packages depend
4.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Performs variable selection using the structured screen-and-select (S3VS) framework in linear models, generalized linear models with binary data, and survival models such as the Cox model and accelerated failure time (AFT) model.

Changes in 1.1
  • Corrected selected coef extraction for GLM using lasso/enet and lambda.1se issue in GLM with ncvreg.
  • Added all changes similar to method <- match.arg(method) for all function arguments whose default values is a vector.
  • Forwarded parallel argument from S3VS() to S3VS_GLM() or S3VS_SURV().
  • Passed alpha into the instances of using VS_method_LM(), VS_method_GLM(), or VS_method_SURV().
  • Corrected bridge_aft call as bridge_fit <- bridge_aft(y, X, gamma = gamma).
  • Finished unfinshed parts of AFTREG branch in VS_method_SURV() and pred_S3VS_SURV().
  • Added missing “AFTREG” option in vsel_method() and missing “COXGLMNET” option in pred_S3VS_SURV().
  • Simplified some functions.
  • Removed "parallel" options for GLM.
  • Corrected "percthresh" inputs in examples.
  • Dependency on package 'mombf' was replaced by dependency on package 'modelSelection'.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
Show 2 earlier changesHide 2 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1
READMEYes · 357 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 1.1Citation fileNoWebsiteYes · pkgdown
Help pages
25includes a package overview page
Examples that run
100%24 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

4.1K
CRAN downloads in the past year
Rank #9,954 · ~11/day · ~340/mo
Daily download trend is not available in this view yet.
32530 days
1K90 days
4.1K1 year
Compare downloads with other packages →
Also on61 r2u

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-01-23
Responsiveness
not measured
PracticesBeta

5 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/nilotpalsanyal/s3vs on 2026-10-18.

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 (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-01-23

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing S3VS adds 130 packages (71 with compiled code, 101 MB of source tarballs). Heaviest: stringi 11 MB, TH.data 8.2 MB, ggplot2 6.0 MB. 1 more not on CRAN is not measured.

Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 1.0 (2026)
Releases (2)

Pick two releases to compare their code metrics.

  • 1.1Latest
    record
    2026-09-07 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0
    record
    2026-01-13
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-01-13
Total releases
2 / 1 yrs
License
GPL (>= 2) OSI
Download size
617 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("S3VS")
Sanyal, N., & Prempeh, P. N. (2026). S3VS: Structured Screen-and-Select Variable Selection in Linear, Generalized Linear, and Survival Models (Version 1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.S3VS

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 S3VS version 1.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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