predictRisk

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 function

<dl><dt>object</dt>
<dd>phreg/binreg/cifreg object</dd>
<dt>...</dt>
<dd>additional arguments to lower level functions</dd></dl>

Arguments

Author

Risk predictions to work with riskRegression package — predictRisk

<dl>

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


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

</dl>

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predictRisk: Risk predictions to work with riskRegression package

Description

Usage

Arguments

Author