Set the covariate levels of a survival model to be represented in survival projections.
Arguments
- dist
a survfit or flexsurvreg object
- ...
Covariate values representing the group for which survival probabilities will be generated when evaluated.
- data
A an optional data frame representing multiple sets of covariate values for which survival probabilities will be generated. Can be used to generate aggregate survival for a heterogeneous set of subjects.
- covariates
Used to work around non-standard evaluation.
Examples
fs1 <- flexsurv::flexsurvreg(
survival::Surv(rectime, censrec)~group,
data=flexsurv::bc,
dist = "llogis"
)
good_model <- set_covariates(fs1, group = "Good")
cohort <- data.frame(group=c("Good", "Good", "Medium", "Poor"))
mixed_model <- set_covariates(fs1, data = cohort)