summary.cov.sel

The list that <code>cov.sel</code> returns

object 

... 

This function produce a summary of the results of the covariate selection done by invoking <code>cov.sel</code>.

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.

Jenny Häggström

CovSel

Model-Free Covariate Selection

summary.cov.sel function

<dl> <dt>object </dt>
<dd>The list that <code>cov.sel</code> returns</dd> <dt>... </dt>
<dd>additional arg</dd>
</dl>

Arguments

Emma Persson, &lt;emma.persson@umu.se&gt;

Author

Summary — summary.cov.sel

<dl>

 <dt>object </dt>
<dd>The list that <code>cov.sel</code> returns</dd>

 <dt>... </dt>
<dd>additional arg</dd>


</dl>

summary.cov.sel: Summary

Description

Usage

Value

Arguments

Author

Details