spsurv (version 1.1.0)

summary.spbp: Bernstein Polynomial Based Regression Object Summary

Description

Bernstein Polynomial Based Regression Object Summary

Usage

# S3 method for spbp
summary(
  object,
  interval = 0.95,
  compact = TRUE,
  show_call = TRUE,
  show_intervals = TRUE,
  show_baseline = FALSE,
  mle_test = c("lr", "wald"),
  bayes_criterion = c("waic", "dic", "lpml"),
  ...
)

Value

An object of class analogous to for e.g. 'summary.bppo.bayes'.

Arguments

object

an object of class spbp

interval

interval coverage (confidence or credibility)

compact

logical; if TRUE, print.summary methods show essential output only.

show_call

logical; include the model call in printed summary.

show_intervals

logical; include interval table in printed summary.

show_baseline

logical; include Bernstein baseline (gamma) Wald table in printed summary (MLE only).

mle_test

global test to print for MLE summaries: "lr" or "wald".

bayes_criterion

global criterion to print for Bayesian summaries: "waic", "dic", or "lpml".

...

further arguments passed to or from other methods