summary.splinesurv: Summary method for splinesurv objects

In splinesurv: Nonparametric bayesian survival analysis

Description

Prints a summary of a fit from splinesurv, including posterior means and quantiles of the posterior distribution for the regression parameters.

Usage

## S3 method for class 'splinesurv'
summary(object,quantiles=c(.025,.975),...)

Arguments

object	an object of type splinesurv.
quantiles	a vector of quantiles at which the posterior distribution should be printed. By default prints the boundary points of a two-sided 95% credible interval.
...	additional parameters for print.

Value

An item of type summary.splinesurv with components call, coef, iter, burnin, hazard, frailty, posterior.mean as documented in splinesurv, as well as:

quantiles	matrix with the posterior mean and desired quantiles of the regression parameters.
quantiles.fvar	quantiles of the variance of the frailty density
quantiles.fvar2	quantiles of the variance of the estimated frailties

See Also

splinesurv

splinesurv documentation built on May 2, 2019, 4:57 p.m.