Bayesian Analysis of Clumped Isotope Datasets


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Documentation for package ‘bayclumpr’ version 0.1.0

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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