This function generates temperature predictions (in 10^6/T2) based on a calibration dataset and target D47. It includes measured error in the target D47 and ion as an additional predictor. — rec.ion.bayesian • bayclumpr

This function generates temperature predictions (in 10^6/T2) based on a calibration dataset and target D47. It includes measured error in the target D47 and ion as an additional predictor.

Usage

rec.ion.bayesian(
  calModel,
  recData,
  iter = 1000,
  postcalsamples = NULL,
  MC = TRUE,
  useIonError = FALSE
)

Arguments

calModel: The fitted Stan model from calibration.
recData: The reconstruction dataset.
iter: Number of sampling iterations.
postcalsamples: Number of posterior calibration samples to use.
MC: Enable multicore (default TRUE).
useIonError: Use Ion error or not.