rec.bayesian {bayclumpr}

R Documentation

This function generate temperature predictions (in 10^6/T2) based on a calibration dataset and target D47. Note that this approach additionally accounts for measured error in the target D47. This approach is congruent with the one used in McClelland et al. (2022).

Description

This function generate temperature predictions (in 10^6/T2) based on a calibration dataset and target D47. Note that this approach additionally accounts for measured error in the target D47. This approach is congruent with the one used in McClelland et al. (2022).

Usage

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

Arguments

calModel	The stan model to be analyzed.
recData	The reconstruction dataset.
iter	Number of replicates to retain.
mixed	whether the model calModel is mixed or not.
postcalsamples	Number of posterior samples to analyze from the calibration step.
MC	Multicore (TRUE/FALSE)

Value

a data.frame with temperature reconstructions and the original values used in the reconstruction.

---