R: Probabilities of competing events from a flexsurvmix model

probs_flexsurvmix {flexsurv} | R Documentation

## Probabilities of competing events from a flexsurvmix model

### Description

Probabilities of competing events from a flexsurvmix model

### Usage

    probs_flexsurvmix(x, newdata = NULL, B = NULL)

### Arguments

`x` | Fitted model object returned from `flexsurvmix`.
`newdata` | 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.
`B` | Number of simulations to use to compute 95% confidence intervals, based on the asymptotic multivariate normal distribution of the basic parameter estimates. If `B=NULL` then intervals are not computed.

### Value

A data frame containing the probability that each of the competing events will occur next, by event and by any covariate values specified in `newdata`.

[Package flexsurv version 2.1 Index]