Update parameter values in param based on best_pars

Usage

update_param(
  calib,
  param,
  aeme,
  replace = FALSE,
  fit_col = "fit",
  best_pars,
  quantile_threshold = 0.1,
  na_value = NULL,
  quantile
)

Arguments

calib: A list with the calibration results loaded using read_calib.
param: A data frame with parameters to update. Defaults to NULL. When NULL, the parameter values are extracted from calib$parameter_metadata.
aeme: aeme; object. Defaults to NULL. When NULL, a dataframe of the updated parameter values is returned. When provided, the updated parameter values are added to the aeme object and the aeme object is returned.
replace: Logical. If TRUE, the parameter values in the aeme object are replaced with the updated values. Defaults to FALSE. Only used when aeme is provided.
fit_col: character; name of column containing fit values. Default is "fit".
best_pars: A data frame with the best parameters from get_param. Defaults to NULL. When NULL, get_param is called to get the best parameters.
quantile_threshold: The quantile to use for the top quantile of the fit_value. Defaults to 0.1. This is used to determine min, max, for parameters when best_pars is not provided.
na_value: Numeric. Penalty value substituted for NA fit values, this is no longer needed as NA values are now written to simulation_data in output of calib_aeme() and sa_aeme(). The argument will be removed in a future version.
quantile: No longer used, replaced by quantile_threshold.

Value

data frame with updated parameter values for running the model with run_aeme_param