predictRisk.binreg

predictRisk.phreg

predictRisk.cifreg

predictRisk.cifregFG

predictRisk.recreg

Risk predictions to work with riskRegression package

Implementation of various statistical models for multivariate
event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate
cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random
effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>.
Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray,
Ghosh-Lin, Binomial regression) with fast computation of influence functions.

Klaus Holst

mets

Analysis of Multivariate Event Times

Klaus K. Holst

Thomas Scheike 

predictRisk.binreg function

<dl><dt>object</dt>
<dd>phreg/binreg/cifreg object</dd>
<dt>newdata</dt>
<dd>data.frame on which to make new predictions</dd>
<dt>cause</dt>
<dd>cause (cif) to predict</dd>
<dt>times</dt>
<dd>times for predictions</dd>
<dt>...</dt>
<dd>additional arguments to lower level functions</dd></dl>

Arguments

Risk predictions to work with riskRegression package — predictRisk.binreg

<dl>

<dt>object</dt>
<dd>phreg/binreg/cifreg object</dd>


<dt>newdata</dt>
<dd>data.frame on which to make new predictions</dd>


<dt>cause</dt>
<dd>cause (cif) to predict</dd>


<dt>times</dt>
<dd>times for predictions</dd>


<dt>...</dt>
<dd>additional arguments to lower level functions</dd>

</dl>

predictRisk.binreg: Risk predictions to work with riskRegression package

Description

Usage

Arguments