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 umu.se>
License:	GPL-3
NeedsCompilation:	no
Citation:	CovSel citation info
CRAN checks:	CovSel results

Documentation:

Reference manual:

CovSel.pdf

Downloads:

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

Linking:

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