tidy.survival_ln_mixture: Tidying method for a Lognormal Mixture model.

In lnmixsurv: Bayesian Mixture Log-Normal Survival Model

Tidying method for a Lognormal Mixture model.

Description

These method tidy the estimates from survival_ln_mixture fits into a summary.

Usage

## S3 method for class 'survival_ln_mixture'
tidy(
  x,
  effects = "fixed",
  conf.int = FALSE,
  conf.level = 0.9,
  digits = NULL,
  ...
)

Arguments

x	Fitted model object (survival_ln_mixture).
effects	A character vector including one or more of "fixed" and ⁠"auxiliary⁠.
conf.int	If TRUE columns for lower (cred.low) and upper (cred.high) bounds of the posterior uncertainty intervals are included.
conf.level	A number between 0 and 1 indicating the desired probability mass to include in the intervals. Only used if conf.int = TRUE.
digits	How many significant digits should be displayed?
...	Not used.

Value

A data.frame without rownames. When effects="fixed" (the default), tidy.survival_ln_mixutre returns one row for each coefficient for each component of the mixture with three columns:

term	The name of the corresponding term in the model.
estimate	A point estimate of the coefficient (posterior median).
std.error	A standard error for the point estimate based on mad. See the Uncertainty estimates section in print.stanreg for more details.

Setting effects="auxiliary" will select the precision and proportion of mixture components parameters.

Examples

require(survival)
lung$sex <- factor(lung$sex)
set.seed(1)
mod2 <- survival_ln_mixture(Surv(time, status == 2) ~ sex, lung)
tidy(mod2)
tidy(mod2, conf.int = TRUE)
tidy(mod2, effects = c("fixed", "auxiliary"), conf.int = TRUE)

lnmixsurv documentation built on Sept. 11, 2024, 7:18 p.m.