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: 1.1
Depends: MASS, dr, np, boot, cubature
Published: 2014-06-26
Author: Jenny Häggström, Emma Persson,
Maintainer: Jenny Häggström <jenny.haggstrom at stat.umu.se>
License: GPL-3
NeedsCompilation: no
CRAN checks: CovSel results

Downloads:

Reference manual: CovSel.pdf
Package source: CovSel_1.1.tar.gz
Windows binaries: r-devel: CovSel_1.1.zip, r-release: CovSel_1.1.zip, r-oldrel: CovSel_1.1.zip
OS X Snow Leopard binaries: r-release: CovSel_1.1.tgz, r-oldrel: CovSel_1.1.tgz
OS X Mavericks binaries: r-release: CovSel_1.1.tgz
Old sources: CovSel archive