pred_surv2: Predict survival from a stan_surv object
In csetraynor/rstanhaz: Bayesian Survival Models (rstanhaz)
Description
Predict survival from a stan_surv object
Usage
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pred_surv2(fit, holdout = NULL, timepoints = NULL, time = "time",
status = "status", ncores = 1L, method = "gp")
Examples
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pbc2 <- survival::pbc
pbc2 <- pbc2[!is.na(pbc2$trt),]
pbc2$status <- as.integer(pbc2$status > 0)
m1 <- stan_surv(survival::Surv(time, status) ~ trt, data = pbc2)
df <- flexsurv::bc
m2 <- stan_surv(survival::Surv(rectime, censrec) ~ group,
data = df, cores = 1, chains = 1, iter = 2000,
basehaz = "fpm", iknots = c(6.594869, 7.285963 ),
degree = 2, prior_aux = normal(0, 2, autoscale = F))
csetraynor/rstanhaz documentation built on May 9, 2019, 8:14 a.m.
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Description
Predict survival from a stan_surv object
Usage
1 2 | pred_surv2(fit, holdout = NULL, timepoints = NULL, time = "time",
status = "status", ncores = 1L, method = "gp")
|
Examples
1 2 3 4 5 6 7 8 9 10 | pbc2 <- survival::pbc
pbc2 <- pbc2[!is.na(pbc2$trt),]
pbc2$status <- as.integer(pbc2$status > 0)
m1 <- stan_surv(survival::Surv(time, status) ~ trt, data = pbc2)
df <- flexsurv::bc
m2 <- stan_surv(survival::Surv(rectime, censrec) ~ group,
data = df, cores = 1, chains = 1, iter = 2000,
basehaz = "fpm", iknots = c(6.594869, 7.285963 ),
degree = 2, prior_aux = normal(0, 2, autoscale = F))
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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