parseCoxph

Creates a set of survival data and fits a <code>coxph</code> model
using a survival formula and a data set.

Fit joint models of survival and multivariate longitudinal data. The longitudinal
data is specified by generalised linear mixed models. The joint models are fit via maximum
likelihood using an approximate expectation maximisation algorithm.
Bernhardt (2015) <doi:10.1016/j.csda.2014.11.011>.

James Murray

gmvjoint

Joint Models of Survival and Multivariate Longitudinal Data

parseCoxph function

<dl><dt>surv.formula</dt>
<dd>A formula readable by `coxph`.</dd>
<dt>data</dt>
<dd>a set of data containing covariate information for variables
named by `surv.formula`. Can be of any 'completeness', as the function 
returns a reduced set.</dd>
<dt>center</dt>
<dd>Should the covariate matrices be mean-centered before being returned?
defaults to <code>center = TRUE</code>.</dd></dl>

Arguments

Parsing the survival formula and constructing all survival-related data objects. — parseCoxph

<dl>

<dt>surv.formula</dt>
<dd>A formula readable by `coxph`.</dd>


<dt>data</dt>
<dd>a set of data containing covariate information for variables
named by `surv.formula`. Can be of any 'completeness', as the function 
returns a reduced set.</dd>


<dt>center</dt>
<dd>Should the covariate matrices be mean-centered before being returned?
defaults to <code>center = TRUE</code>.</dd>

</dl>

parseCoxph: Parsing the survival formula and constructing all survival-related data objects.

Description

Usage

Value

Arguments

Examples