Check, that data of the posterior is close enough to the reference data.

Usage

test_brms_quantile(posterior_data, arg_name, reference, thresh, debug = FALSE)

Arguments

posterior_data: Data fitted and drawn, a brms object, which is a list in R terms
arg_name: Name of the argument variable to check, as single string
reference: Reference value to check against, single real scalar
thresh: real scalar or 2-length vector of quantile bounds. For scalar constructs bound as [thresh, 1-thresh] thresh has to be inside the Unit-Interval.
debug: True for verbose output of test results.

Value

Single boolean success, fail or error

Examples

fit <- bayesfam:::construct_brms(
  n_data_sampels = 1000,
  intercept = 5.0,
  aux_par = 2.0,
  rng_link = identity,
  family = betaprime,
  rng = rbetaprime
)
#> Error in .fun(model_code = .x1) : 
#>   Boost not found; call install.packages('BH')
#> Error in .fun(model_code = .x1): Boost not found; call install.packages('BH')
result <- bayesfam:::test_brms_quantile(
  posterior_data = fit, arg_name = "phi", 2.0, 0.025
)
#> Error: object 'fit' not found
plot(fit)
#> Error: object 'fit' not found
# beta_prime uses log-link for Intercept