pLIDA

Computation of the transition probabilities.

nonparametric

survival

Contains functions for data preparation,
prediction of transition probabilities,
estimating semi-parametric regression models
and for implementing nonparametric estimators
for other quantities. See Meira-Machado and
Roca-Pardiñas (2011) <doi:10.18637/jss.v038.i03>.

Luis Meira-Machado

p3state.msm

Analyzing Survival Data from an Illness-Death Model

Javier Roca-Pardinas

Artur Araujo

pLIDA function

<dl> <dt>object</dt>
<dd>Component datafr of an object of class p3state.</dd> <dt>time1</dt>
<dd>The first time for obtaining estimates for the transition probabilities,
 bivariate distribution function. NULL is equivalent to 0.</dd> <dt>time2</dt>
<dd>The second time for obtaining estimates for the bivariate distribution function.</dd> <dt>tp</dt>
<dd>Optional argument:
 tp="all" (default value) to obtain all the transition probabilities p11, p12 and p22;
 tp="p11" to obtain only p11;
 tp="p12" to obtain only p12;
 tp="p22" to obtain only p22.</dd></dl>

Arguments

Luis Meira-Machado, Javier Roca-Pardinas and Artur Araújo

Author

Transition probabilities — pLIDA

<dl>

 <dt>object</dt>
<dd>Component datafr of an object of class p3state.</dd>

 <dt>time1</dt>
<dd>The first time for obtaining estimates for the transition probabilities,
 bivariate distribution function. NULL is equivalent to 0.</dd>

 <dt>time2</dt>
<dd>The second time for obtaining estimates for the bivariate distribution function.</dd>

 <dt>tp</dt>
<dd>Optional argument:
 tp="all" (default value) to obtain all the transition probabilities p11, p12 and p22;
 tp="p11" to obtain only p11;
 tp="p12" to obtain only p12;
 tp="p22" to obtain only p22.</dd>

</dl>

pLIDA: Transition probabilities

Description

Usage

Value

Arguments

Author

References

See Also

Examples