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.


Reference manual

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1.2.1 by Jenny Häggström, 6 years ago

Browse source code at

Authors: Jenny Häggström , Emma Persson ,

Documentation:   PDF Manual  

GPL-3 license

Depends on dr, np, MASS

Suggests bindata

See at CRAN