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

In spsurv: Bernstein Polynomial Based Semiparametric Survival Analysis

Description

spbp: The BP Based Semiparametric Survival Analysis Function

Usage

## Default S3 method:
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

spsurv documentation built on April 14, 2020, 7:20 p.m.