smooth_erf_kernsmooth

Compute smoothed erf with kernsmooth approach

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_kernsmooth function

<dl><dt>matched_Y</dt>
<dd>A vector of outcome value.</dd>
<dt>matched_w</dt>
<dd>A vector of treatment value.</dd>
<dt>matched_cw</dt>
<dd>A vector of weight or count.</dd>
<dt>bw</dt>
<dd>A scaler number indicating the bandwidth.</dd></dl>

Arguments

Compute smoothed erf with kernsmooth approach — smooth_erf_kernsmooth

<dl>

<dt>matched_Y</dt>
<dd>A vector of outcome value.</dd>


<dt>matched_w</dt>
<dd>A vector of treatment value.</dd>


<dt>matched_cw</dt>
<dd>A vector of weight or count.</dd>


<dt>bw</dt>
<dd>A scaler number indicating the bandwidth.</dd>

</dl>

smooth_erf_kernsmooth: Compute smoothed erf with kernsmooth approach

Description

Usage

Value

Arguments