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
<- spbp(Surv(time, delta)~age+factor(stage),
fit approach = "mle", data = larynx)
summary(fit)
## NUTS sampling (Bayesian)
<- spbp(Surv(time, delta)~age+factor(stage),
fit2 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.