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bayclumpr (version 0.1.0)

Bayesian Analysis of Clumped Isotope Datasets

Description

Simulating synthetic clumped isotope dataset, fitting linear regression models under Bayesian and non-Bayesian frameworks, and generating temperature reconstructions for the same two approaches. Please note that models implemented in this package are described in Roman-Palacios et al. (2021) .

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Install

install.packages('bayclumpr')

Monthly Downloads

193

Version

0.1.0

License

MIT + file LICENSE

Maintainer

Cristian Roman Palacios

Last Published

March 29th, 2023

Functions in bayclumpr (0.1.0)

cal.deming

Fit Deming regression models on a given calibration dataset
cal.dataset

Generate a synthetic dataset for clumped isotopes calibrations
rec.clumped

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

Fit OLS 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).
cal.bayesian

Bayesian regressions to calibrate the clumped isotopes paleothermometer using stan.
cal.york

Fit York regression models on a given calibration dataset
cal.wols

Fit weighted OLS regression models on a given calibration dataset
cal.prior

Generate a dataset reflecting the priors used to run the analyses
rec.prior

Generate a dataset reflecting the priors used to run the analyses
cal.ci

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