Package: CovSel 1.2.2
Jenny Häggström
CovSel: Model-Free Covariate Selection
Model-free selection of covariates under unconfoundedness for situations where the parameter of interest is an average causal effect. This package is based on model-free backward elimination algorithms proposed in de Luna, Waernbaum and Richardson (2011). Marginal co-ordinate hypothesis testing is used in situations where all covariates are continuous while kernel-based smoothing appropriate for mixed data is used otherwise.
Authors:
CovSel_1.2.2.tar.gz
CovSel_1.2.2.tar.gz(r-4.7-any)CovSel_1.2.2.tar.gz(r-4.6-any)
CovSel_1.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CovSel/json (API)
| # Install 'CovSel' in R: |
| install.packages('CovSel', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:6483cd42cc. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 129 | ||
| source / vignettes | OK | 156 | ||
| linux-release-x86_64 | OK | 134 | ||
| wasm-release | OK | 99 |
Exports:cov.sel
Dependencies:bootcrscubaturelatticeMASSMatrixMatrixModelsnpquadprogquantregRcppSparseMsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Model-Free Selection of Covariate Sets | cov.sel |
| cov.sel.np | cov.sel.np |
| Simulated Data, Continuous | datc |
| Simulated Data, Factors | datf |
| Simulated Data, Mixed | datfc |
| Real data, Lalonde | lalonde |
| Summary | summary.cov.sel |