survival

Construct a family object for survival data

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

survival function

<dl><dt>method</dt>
<dd>the parametric method used for survival data. Can be Cox or AFT.</dd>
<dt>link</dt>
<dd>a link function, currently only identity is implemented and used</dd></dl>

Arguments

The family function for survival data — survival

<dl>

<dt>method</dt>
<dd>the parametric method used for survival data. Can be Cox or AFT.</dd>


<dt>link</dt>
<dd>a link function, currently only identity is implemented and used</dd>

</dl>

survival: The family function for survival data

Description

Usage

Value

Arguments