BIC.constant {xhaz} | R Documentation |
Bayesian Information Criterion for excess hazard model with baseline hazard following a piecewise constant function
Description
Calculates the Bayesian Information Criterion’ for fitted
models from xhaz
.
Usage
## S3 method for class 'constant'
BIC(object, ...)
Arguments
object |
a fitted model object obtained from |
... |
optionally more fitted model objects obtained from |
Value
the value corresponds to the BIC calculated from the total log-likelihood of the fitted model if just one object is provided. If multiple objects are provided, a data.frame with columns corresponding to the objects and rows representing the number of parameters in the model (df) and the BIC.
Examples
library("xhaz")
# Esteve et al. model: baseline excess hazard is a piecewise function
# linear and proportional effects for the covariates on
# baseline excess hazard.
levels(simuData$sex) <- c("male", "female")
set.seed(1980)
simuData2 <- simuData[sample(nrow(simuData), size = 500), ]
fit.estv2 <- xhaz(formula = Surv(time_year, status) ~ agec + race,
data = simuData2,
ratetable = survexp.us,
interval = c(0, NA, NA, NA, NA, NA, 6),
rmap = list(age = 'age', sex = 'sex', year = 'date'),
baseline = "constant", pophaz = "classic")
fit.estv2
BIC(fit.estv2)
[Package xhaz version 2.0.1 Index]