Package index

All functions

cal.bayesian()

Bayesian regressions to calibrate the clumped isotopes paleothermometer using stan.

cal.ci()

This function is used to generate CI estimates at given intervals. It is currently used for plotting in BayClump.

cal.dataset()

Generate a synthetic dataset for clumped isotopes calibrations

cal.deming()

Fit Deming regression models on a given calibration dataset

cal.ion.bayesian()

Bayesian regressions to calibrate the clumped isotopes paleothermometer using stan.

cal.ols()

Fit OLS regression models on a given calibration dataset

cal.prior()

Generate a dataset reflecting the priors used to run the analyses

cal.wols()

Fit weighted OLS regression models on a given calibration dataset

cal.york()

Fit York regression models on a given calibration dataset

rec.bayesian()

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).

rec.clumped()

This function performs temp reconstruction (10^6/T^2 with T in K) for multiple replicates of the same target.

rec.ion.bayesian()

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.prior()

Generate a dataset reflecting the priors used to run the analyses