md.simdataobject-class

md.simdataobject-init

md.simdataobject is an abstract class that is inherited by the 
md.simdata covariate generating classes such as md.binom, md.norm etc.
Constructor of the md.simdataobject

internal

Implements two methods: a nonparametric risk adjustment and a
data imputation method that use general population mortality tables to allow a
correct analysis of time to disease recurrence. Also includes a powerful set of
object oriented survival data simulation functions.

Tomaz Stupnik

missDeaths

Simulating and Analyzing Time to Event Data in the Presence of
Population Mortality

Maja Pohar Perme

md.simdataobject-class function

<dl>
<dt><code>name</code></dt>
<dd>name of the covariate</dd></dl>
<dt><code>center</code></dt>
<dd>expected mean of the covariate used to center values in md.exp</dd>
<dt><code>virtual</code></dt>
<dd>specifies whether the covariate will be included in the final dataset generated by md.simulate</dd>

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md.simdataobject is an abstract class that is inherited by the 
md.simdata covariate generating classes such as md.binom, md.norm etc. — md.simdataobject-class

<dl>
<dt><code>name</code></dt>
<dd>name of the covariate</dd>


<dt><code>center</code></dt>
<dd>expected mean of the covariate used to center values in md.exp</dd>


<dt><code>virtual</code></dt>
<dd>specifies whether the covariate will be included in the final dataset generated by md.simulate</dd>


</dl>

md.simdataobject-class: md.simdataobject is an abstract class that is inherited by the md.simdata covariate generating classes such as md.binom, md.norm etc.

Description

Arguments

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