spbp.default {spsurv} | R Documentation |
spbp: The BP Based Semiparametric Survival Analysis Function
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
[Package spsurv version 1.0.0 Index]