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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: | 1.2.1 |
| Depends: | dr, np, MASS |
| Suggests: | bindata |
| Published: | 2015-11-09 |
| Author: | Jenny Häggström, Emma Persson, |
| Maintainer: | Jenny Häggström <jenny.haggstrom at umu.se> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | CovSel citation info |
| CRAN checks: | CovSel results |
| Reference manual: | CovSel.pdf |
| Package source: | CovSel_1.2.1.tar.gz |
| Windows binaries: | r-devel: CovSel_1.2.1.zip, r-release: CovSel_1.2.1.zip, r-oldrel: CovSel_1.2.1.zip |
| macOS binaries: | r-release (arm64): CovSel_1.2.1.tgz, r-oldrel (arm64): CovSel_1.2.1.tgz, r-release (x86_64): CovSel_1.2.1.tgz, r-oldrel (x86_64): CovSel_1.2.1.tgz |
| Old sources: | CovSel archive |
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