calibrate_quartiles: Calibrate prior distributions based on quartiles

Description

Calibrates prior distributions for parametric survival analysis based on median survival and interquartile range. Returns a list of prior distribution for the intercepts and auxiliary parameters.

Usage

calibrate_quartiles(
  median_t,
  iq_range_t,
  prior_sd = 0.5,
  distributions = c("exp-aft", "weibull-aft", "lnorm-aft", "llogis-aft", "gamma-aft"),
  verbose = FALSE,
  search_bounds1 = c(-100, 100),
  search_bounds2 = c(0 + 0.01, 100)
)

Value

returns a list of prior distribution for the intercepts and auxiliary parameters.

Arguments

median_t: median survival
iq_range_t: interquartile range of the survival
prior_sd: pre-specified standard deviation of the prior distributions (either a single value that is used for both the intercept and auxiliary parameter or a vector where the first value corresponds to the sd for the prior distribution on the intercept and the second value to the sd for the prior distribution on the auxiliary parameter)
distributions: vector of parametric families for which prior distributions ought to be calibrated
verbose: whether debug information be printed
search_bounds1: search boundaries for the intercept parameter
search_bounds2: search boundaries for the auxiliary parameter

Examples

Run this code

priors <- calibrate_quartiles(median_t = 5, iq_range_t = 10, prior_sd = 0.5)

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