spsurv (version 1.0.0)

spbp.default: spbp: The BP Based Semiparametric Survival Analysis Function

Description

spbp: The BP Based Semiparametric Survival Analysis Function

Usage

# S3 method for default
spbp(
  formula,
  degree,
  data,
  approach = c("mle", "bayes"),
  model = c("ph", "po", "aft"),
  priors = list(beta = c("normal(0,4)"), gamma = "lognormal(0,10)"),
  scale = TRUE,
  cores = parallel::detectCores(),
  ...
)

Arguments

formula

a Surv object with time to event, status and explanatory terms

degree

Bernstein Polynomial degree

data

a data.frame object

approach

Bayesian or Maximum Likelihood estimation methods, default is approach = "bayes"

model

Proportional Hazards or Proportional Odds BP based regression, default is model = "ph"

priors

prior settings for the Bayesian approach; `normal` or `cauchy` for beta; `gamma`, `inv_gamma` or `lognormal` for gamma (BP coefficients)

scale

logical; indicates whether to center and scale the data

cores

number of core threads to use

...

further arguments passed to or from other methods

Value

An object of class spbp