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.
| Version: | 1.2.2 |
| Depends: | np, MASS |
| Suggests: | bindata |
| Published: | 2025-04-09 |
| DOI: | 10.32614/CRAN.package.CovSel |
| Author: | Jenny Häggström [aut, cre], Emma Persson [aut], Sandy Weisberg [aut] (Author of functions originating from the package dr version 3.0.10.) |
| Maintainer: | Jenny Häggström <jenny.haggstrom at umu.se> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | CovSel citation info |
| CRAN checks: | CovSel results |
| Reference manual: | CovSel.html , CovSel.pdf |
| Package source: | CovSel_1.2.2.tar.gz |
| Windows binaries: | r-devel: CovSel_1.2.2.zip, r-release: CovSel_1.2.2.zip, r-oldrel: CovSel_1.2.2.zip |
| macOS binaries: | r-release (arm64): CovSel_1.2.2.tgz, r-oldrel (arm64): CovSel_1.2.2.tgz, r-release (x86_64): CovSel_1.2.2.tgz, r-oldrel (x86_64): CovSel_1.2.2.tgz |
| Old sources: | CovSel archive |
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