Calculate the quantiles of the time from the start of the process to each possible final (or "absorbing") state in a mixture multi-state model. Models with cycles are not supported.
qfinal_fmixmsm(
x,
newdata = NULL,
final = FALSE,
B = NULL,
n = 10000,
probs = c(0.025, 0.5, 0.975)
)Data frame of quantiles of the time to final state by pathway and covariate value, or by final state and covariate value.
Object returned by fmixmsm, representing a multi-state
model built from piecing together mixture models fitted by
flexsurvmix.
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.
If TRUE then the mean time to the final state is
calculated for each final state, by taking a weighted average of the mean
time to travel each pathway ending in that final state, weighted by the
probability of the pathway. If FALSE (the default) then a
separate mean is calculated for each pathway.
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.
Number of individual-level simulations to use to characterise the time-to-event distributions
Quantiles to calculate, by default, c(0.025, 0.5, 0.975)