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rplum (version 0.1.5.1)

Bayesian Age-Depth Modelling of Cores Dated by Pb-210

Description

An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for 210Pb-dated deposits using prior information. It can combine 210Pb, radiocarbon, and other dates in the chronologies. See Aquino et al. (2018) . Note that parts of the code underlying 'rplum' are derived from the 'rbacon' package by the same authors. Subsequent versions of 'rplum' and 'rbacon' are planned to reduce duplication, with 'rplum' importing 'rbacon' instead.

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Version

Install

install.packages('rplum')

Monthly Downloads

327

Version

0.1.5.1

License

GPL (>= 2)

Maintainer

Maarten Blaauw

Last Published

August 11th, 2020

Functions in rplum (0.1.5.1)

Remove files made to produce the current core's age-depth model.

Event probabilities against calendar age

Test to identify poorly mixed MCMC runs.

Remove files made to produce the current core's age-depth model.

Output all ages for a single depth.

Calculate modelled 210Pb

List the folders present in the current core directory.

Calculate age distributions of depths.

Main 210Pb age-depth modelling function

Main age-depth modelling function

Obtain estimated accumulation rates as for any depth of a core.

draw.pbmodelled

Plot the 210Pb data

Obtain estimated accumulation rates for any age of a core.

accrate.age.ghost

Plot a core's accumulation rates against calendar time.

draw.pbmeasured

Plot the 210Pb data

copyCalibrationCurve

Copy a calibration curve.

Remove the first n iterations.

Build a custom-made, mixed calibration curve.

Extract one age-model iteration

Calculate C14 ages from pMC values.

Plot an age-depth model

Plot flux rates for proxies.

accrate.depth.ghost

Plot modelled accumulation rates against the depths of a core.

Translate clam .csv files to Bacon .csv files.

Calculate pMC values from C14 ages

calib.plumbacon.plot

Thin iterations.

Add dates to age-depth plots

Translate Bacon .csv files to clam .csv files.

Remove the first n iterations.

Proxies analysed along the depths of a core can be plotted as 'proxy-ghost' graphs against calendar time while taking into account chronological uncertainties. Here darker grey indicates more likely calendar ages for specific proxy values.