print.curelps: Print the fit of a promotion time cure model.

In blapsr: Bayesian Inference with Laplace Approximations and P-Splines

Print the fit of a promotion time cure model.

Description

Print method for a curelps object.

Usage

## S3 method for class 'curelps'
print(x, ...)

Arguments

x	An object of class curelps.
...	Further arguments to be passed to print.

Details

Prints informative output of a fitted promotion time cure model with the Laplace-P-spline approach. In particular, the model formula, number of B-splines in basis, chosen penalty order, latent field dimension, sample size, number of events and effective model dimension are provided. The estimated model coefficients related to the cure probability (long-term survival) and the population hazard dynamics (short-term survival) are also provided, where coef is the point estimate, sd.post the posterior standard deviation, z is the Wald test statistic and lower.95 and upper.95 the lower, respectively upper bounds of the approximate 95% pointwise credible interval.

Author(s)

Oswaldo Gressani [e-mail].

See Also

curelps, curelps.extract, plot.curelps

blapsr documentation built on Sept. 1, 2025, 5:10 p.m.