spbp: The BP Based Semiparametric Survival Analysis Function

Source: R/spbp.R

spbp: The BP Based Semiparametric Survival Analysis Function

# 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