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.
|Author||Jenny Häggström, Emma Persson,|
|Date of publication||2015-11-09 17:23:10|
|Maintainer||Jenny Häggström <firstname.lastname@example.org>|
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