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: 1.0
Depends: MASS, dr, np, boot, cubature
Published: 2013-09-25
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_1.0.tar.gz
OS X binary: CovSel_1.0.tgz
Windows binary: CovSel_1.0.zip