make_stancode

Generate the Stan code corresponding to the model,
which is read by Stan to do sampling.

Estimating causal effects in the presence of post-treatment confounding using principal stratification. 'PStrata' allows for customized monotonicity assumptions and exclusion restriction assumptions, with automatic full Bayesian inference supported by 'Stan'. The main function to use in this package is PStrata(), which provides posterior estimates of principal causal effect with uncertainty quantification. Visualization tools are also provided for diagnosis and interpretation. See Liu and Li (2023) <arXiv:2304.02740> for details.

Bo Liu

PStrata

Principal Stratification Analysis in R

Fan Li

make_stancode function

<dl><dt>PSobject</dt>
<dd>an object of class <code>PSobject</code></dd>
<dt>filename</dt>
<dd>(optional) string. If not <code>NULL</code>, the stan file will be saved via
<code><a href="/link/cat?package=PStrata&version=0.0.5" data-mini-rdoc="PStrata::cat">cat</a></code> in a text file named after the string supplied.</dd>
<dt>debug</dt>
<dd>only for testing in development mode. Will be removed in future release.</dd></dl>

Arguments

Stan Code for PStrata Models — make_stancode

<dl>

<dt>PSobject</dt>
<dd>an object of class <code>PSobject</code></dd>


<dt>filename</dt>
<dd>(optional) string. If not <code>NULL</code>, the stan file will be saved via
<code><a href='https://rdrr.io/r/base/cat.html'>cat</a></code> in a text file named after the string supplied.</dd>


<dt>debug</dt>
<dd>only for testing in development mode. Will be removed in future release.</dd>

</dl>

make_stancode: Stan Code for PStrata Models

Description

Usage

Value

Arguments