Skip to contents
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.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.prior()

Generate a dataset reflecting the priors used to run the analyses