simDat2

This dataset is used in several documentation files to illustrate the
different functionalities of the package.

datasets

Several causal effects are measured using least squares regressions and basis function approximations. Backward and forward selection methods based on different criteria are used to select the basis functions.

Pierre Chausse

causalSLSE

Semiparametric Least Squares Inference for Causal Effects

Pierre Chausse Developer

Mihai Giurcanu Developer

simDat2 function

A data frame with 300 observations on the following 11 variables.<dl>
 <dt><code>X</code></dt>
<dd>Continuous Covariate</dd> <dt><code>Z</code></dt>
<dd>Treatment indicator.</dd> <dt><code>Y</code></dt>
<dd>Observed outcome.</dd> <dt><code>Y1</code></dt>
<dd>Outcome for the treated (not observed in
 practice).</dd>
 
 <dt><code>Y0</code></dt>
<dd>Outcome for the nontreated (not observed in
 practice).</dd> <dt><code>U01</code>, <code>U02</code>, <code>U03</code></dt>
<dd>The true basis functions
 for the nontreated.</dd>
 
 <dt><code>U11</code>, <code>U12</code>, <code>U13</code></dt>
<dd>The true basis functions
 for the treated.</dd>
 
 
</dl>

Format

Simulated Data — simDat2

A data frame with 300 observations on the following 11 variables.<dl>
 <dt><code>X</code></dt>
<dd>Continuous Covariate</dd>

 <dt><code>Z</code></dt>
<dd>Treatment indicator.</dd>

 <dt><code>Y</code></dt>
<dd>Observed outcome.</dd>

 <dt><code>Y1</code></dt>
<dd>Outcome for the treated (not observed in
 practice).</dd>
 
 <dt><code>Y0</code></dt>
<dd>Outcome for the nontreated (not observed in
 practice).</dd>

 <dt><code>U01</code>, <code>U02</code>, <code>U03</code></dt>
<dd>The true basis functions
 for the nontreated.</dd>
 
 <dt><code>U11</code>, <code>U12</code>, <code>U13</code></dt>
<dd>The true basis functions
 for the treated.</dd>
 
 
</dl>

simDat2: Simulated Data

Description

Usage

Arguments

Format