smooth_erf

Smooths exposure response function based on bandwidth

internal

Provides a framework for estimating causal effects of a continuous
exposure using observational data, and implementing matching and weighting
on the generalized propensity score.
Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2022.
Matching on generalized propensity scores with continuous exposures. Journal
of the American Statistical Association, pp.1-29.

Naeem Khoshnevis

CausalGPS

Matching on Generalized Propensity Scores with Continuous
Exposures

Xiao Wu

Danielle Braun

smooth_erf function

<dl><dt>matched_Y</dt>
<dd>A vector of the outcome variable in the matched set.</dd>
<dt>bw</dt>
<dd>The bandwidth value.</dd>
<dt>matched_w</dt>
<dd>A vector of continuous exposure variable in the matched set.</dd>
<dt>matched_cw</dt>
<dd>A vector of counter or weight variable in the matched set.</dd>
<dt>kernel_appr</dt>
<dd>Internal kernel approach. Available options are <code>locpol</code>
and <code>kernsmooth</code>.</dd></dl>

Arguments

Smooth exposure response function — smooth_erf

<dl>

<dt>matched_Y</dt>
<dd>A vector of the outcome variable in the matched set.</dd>


<dt>bw</dt>
<dd>The bandwidth value.</dd>


<dt>matched_w</dt>
<dd>A vector of continuous exposure variable in the matched set.</dd>


<dt>matched_cw</dt>
<dd>A vector of counter or weight variable in the matched set.</dd>


<dt>kernel_appr</dt>
<dd>Internal kernel approach. Available options are <code>locpol</code>
and <code>kernsmooth</code>.</dd>

</dl>

smooth_erf: Smooth exposure response function

Description

Usage

Value

Arguments