censored_info

Estimates the mean and standard deviation for right-censored survival data.
Uses the <code>afthd</code> package if available (placeholder), else <code>survival</code>, and
otherwise falls back to the naive mean among observed events.

Bayesian regression tree models with shrinkage priors on
step heights. Supports continuous, binary, and right-censored (survival)
outcomes. Used for high-dimensional prediction and causal inference.

Tijn Jacobs

ShrinkageTrees

Regression Trees with Shrinkage Priors

censored_info function

<dl><dt>y</dt>
<dd>Numeric vector of (log-transformed) survival times.</dd>
<dt>status</dt>
<dd>Numeric vector; event indicator (1 = event, 0 = censored).</dd></dl>

Arguments

Compute mean estimate for censored data — censored_info

<dl>

<dt>y</dt>
<dd>Numeric vector of (log-transformed) survival times.</dd>


<dt>status</dt>
<dd>Numeric vector; event indicator (1 = event, 0 = censored).</dd>

</dl>

censored_info: Compute mean estimate for censored data

Description

Usage

Value

Arguments