survstan (version 0.0.7.1)

rank_models: Rank a collection of survstan models

Description

Rank a collection of survstan models

Usage

rank_models(formula, data, survreg, baseline, dist = NULL, ...)

Value

a tibble containing the fitted models ranked according to their AICs.

Arguments

formula

an object of class "formula" (or one that can be coerced to that class): a symbolic description of the model to be fitted.

data

data an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model. If not found in data, the variables are taken from environment(formula), typically the environment from which function is called.

survreg

survival regression models to be fitted (AFT, AH, PH, PO, YP and EH).

baseline

baseline distributions to be fitted; options currently available are: exponential, weibull, lognormal, loglogistic and Birnbaum-Saunders (fatigue) distributions.

dist

alternative way to specify the baseline distributions (for compability with the survreg function); default is NULL.

...

further arguments passed to other methods.

Examples

# \donttest{
library(survstan)
library(dplyr)

veteran <- veteran %>%
  mutate(across(c(trt, prior, celltype), as.factor))
fits <- rank_models(
  formula = Surv(time, status) ~ celltype+karno,
  data = veteran,
  survreg = c("aftreg", "ahreg", "phreg", "poreg", "ypreg", "ehreg"),
  baseline = c("exponential", "weibull", "lognormal", "loglogistic", "fatigue", "gamma", "rayleigh")
)
# }