rmst_flexsurvmix

This returns the restricted mean of each event-specific parametric time-to-event
distribution in the mixture model, which is the mean time to event
conditionally on that event being the one that happens, and conditionally
on the event time being less than some time horizon <code>tot</code>.

Flexible parametric models for time-to-event data,
including the Royston-Parmar spline model, generalized gamma and
generalized F distributions.  Any user-defined parametric
distribution can be fitted, given at least an R function defining
the probability density or hazard. There are also tools for
fitting and predicting from fully parametric multi-state models,
based on either cause-specific hazards or mixture models.

Christopher Jackson

flexsurv

Flexible Parametric Survival and Multi-State Models

Paul Metcalfe

Jordan Amdahl

Matthew T. Warkentin

Michael Sweeting

Kevin Kunzmann

rmst_flexsurvmix function

<dl><dt>x</dt>
<dd>Fitted model object returned from <code>flexsurvmix</code>.</dd>
<dt>newdata</dt>
<dd>Data frame or list of covariate values. If omitted for a
model with covariates, a default is used, defined by all combinations of
factors if the only covariates in the model are factors, or all covariate
values of zero if there are any non-factor covariates in the model.</dd>
<dt>tot</dt>
<dd>Time horizon to compute the restricted mean until.</dd>
<dt>B</dt>
<dd>Number of simulations to use to compute 95% confidence intervals,
based on the asymptotic multivariate normal distribution of the basic
parameter estimates. If <code>B=NULL</code> then intervals are not computed.</dd></dl>

Arguments

Restricted mean times to events from a flexsurvmix model — rmst_flexsurvmix

<dl>

<dt>x</dt>
<dd>Fitted model object returned from <code>flexsurvmix</code>.</dd>


<dt>newdata</dt>
<dd>Data frame or list of covariate values. If omitted for a
model with covariates, a default is used, defined by all combinations of
factors if the only covariates in the model are factors, or all covariate
values of zero if there are any non-factor covariates in the model.</dd>


<dt>tot</dt>
<dd>Time horizon to compute the restricted mean until.</dd>


<dt>B</dt>
<dd>Number of simulations to use to compute 95% confidence intervals,
based on the asymptotic multivariate normal distribution of the basic
parameter estimates. If <code>B=NULL</code> then intervals are not computed.</dd>

</dl>

rmst_flexsurvmix: Restricted mean times to events from a flexsurvmix model

Description

Usage

Value

Arguments