Variable Selection for Complex Survey Data
Overview
Fit design-based linear and logistic elastic nets with complex survey data considering the sampling design when defining training and test sets using replicate weights. Methods implemented in this package are described in: A. Iparragirre, T. Lumley, I. Barrio, I. Arostegui (2024) doi:10.1002/sta4.578.
- Resubmission
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 6
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing svyVarSel adds 12 packages (6 with compiled code, 12 MB of source tarballs). Heaviest: glmnet 2.7 MB, survey 2.3 MB, Rcpp 1.8 MB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.0.1Latest2024-10-15 · current release
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-10-15
- Total releases
- 1 / 2 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 596 KB / 1 file
- Download size
- 645 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("svyVarSel")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.