An R package for semi-parametric survival analysis.

The spsurv package was designed to contribute with a flexible set of semi-parametric survival regression modelings, including proportional hazards (PH), proportional odds (PO), and accelerated failure time (AFT) models for right-censored data.

• Install and load the spsurv package using the devtools package.

install.packages("devtools")

library(devtools)
install_github("rvpanaro/spsurv")

• Check out the main fitter function examples.

library("KMsurv")
data("larynx")

library(spsurv)

## Maximum Likelihood
fit <- spbp(Surv(time, delta)~age+factor(stage),
                    approach = "mle",  data = larynx)
summary(fit)      

## NUTS sampling (Bayesian)
fit2 <- spbp(Surv(time, delta)~age+factor(stage),
                     approach = "bayes",  data = larynx,
                     iter = 2000, chains = 1, warmup = 1000)
summary(fit2)

The spsurv already provides:

• Integration with Stan software.
• Estimates either in Bayesian or Frequentist (point estimate) inferential approaches.
• Three survival regression classes: PH, PO and AFT.
• Six distinct prior specifications in a Bayesian analysis.