CovSel (1.2.1)

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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.

Maintainer: Jenny Hggstrm
Author(s): Jenny Hggstrm, Emma Persson,

License: GPL-3

Uses: dr, MASS, np, bindata

Released over 4 years ago.

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