quantile_flexsurvmix

This returns the quantiles of each event-specific parametric time-to-event
distribution in the mixture model, which describes the time to the event
conditionally on that event being the one that happens.

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

quantile_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>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>
<dt>probs</dt>
<dd>Vector of alternative quantiles, by default <code>c(0.025, 0.95, 0.975)</code>
giving the median and a 95% interval.</dd></dl>

Arguments

Quantiles of time-to-event distributions in a flexsurvmix model — quantile_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>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>


<dt>probs</dt>
<dd>Vector of alternative quantiles, by default <code>c(0.025, 0.95, 0.975)</code>
giving the median and a 95% interval.</dd>

</dl>

quantile_flexsurvmix: Quantiles of time-to-event distributions in a flexsurvmix model

Description

Usage

Arguments