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.

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>
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:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: CovSel_1.1.tgz, r-oldrel: CovSel_1.1.tgz
OS X Mavericks binaries: r-release: CovSel_1.2.1.tgz
Old sources: CovSel archive