Mstep

Function for fitting proportioal hazard model with baseline hazard

Survival analysis of interval-censored data with proportional hazards, and an explicit smooth estimate of the baseline log-hazard with P-splines.

Hein Putter

icpack

Survival Analysis of Interval-Censored Data

Paul Eilers

Mstep function

<dl><dt>Y</dt>
<dd>Expected events (matrix)</dd>
<dt>R</dt>
<dd>Expected risk sets (matrix)</dd>
<dt>X</dt>
<dd>Covariates (matrix)</dd>
<dt>B</dt>
<dd>B-spline basis</dd>
<dt>Pen</dt>
<dd>Penalty matrix</dd>
<dt>lambda</dt>
<dd>Smoothing parameter (number)</dd>
<dt>cbx</dt>
<dd>Current coefficient estimates</dd></dl>

Arguments

Function for fitting proportioal hazard model with baseline hazard — Mstep

<dl>

<dt>Y</dt>
<dd>Expected events (matrix)</dd>


<dt>R</dt>
<dd>Expected risk sets (matrix)</dd>


<dt>X</dt>
<dd>Covariates (matrix)</dd>


<dt>B</dt>
<dd>B-spline basis</dd>


<dt>Pen</dt>
<dd>Penalty matrix</dd>


<dt>lambda</dt>
<dd>Smoothing parameter (number)</dd>


<dt>cbx</dt>
<dd>Current coefficient estimates</dd>

</dl>

Mstep: Function for fitting proportioal hazard model with baseline hazard

Description

Usage

Value

Arguments