Learn R Programming

⚠️There's a newer version (3.3.1) of this package.Take me there.

rbacon (version 2.4.3)

Age-Depth Modelling using Bayesian Statistics

Description

An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information. See Blaauw & Christen (2011) .

Copy Link

Version

Install

install.packages('rbacon')

Monthly Downloads

1,133

Version

2.4.3

License

GPL (>= 2)

Maintainer

Maarten Blaauw

Last Published

August 10th, 2020

Functions in rbacon (2.4.3)

Obtain estimated accumulation rates for any age of a core.

Calculate modelled 210Pb

Main age-depth modelling function

Test to identify poorly mixed MCMC runs.

Event probabilities against calendar age

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

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

Output all ages for a single depth.

accrate.age.ghost

Plot a core's accumulation rates against calendar time.

Calculate age distributions of depths.

calib.plumbacon.plot

Add dates to age-depth plots

accrate.depth.ghost

Plot modelled accumulation rates against the depths of a core.

Extract one age-model iteration

Translate Bacon .csv files to clam .csv files.

Thin iterations.

Remove the first n iterations.

draw.pbmodelled

Plot the 210Pb data

Plot flux rates for proxies.

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.

Calculate pMC values from C14 ages

Plot an age-depth model

Translate clam .csv files to Bacon .csv files.

Build a custom-made, mixed calibration curve.

copyCalibrationCurve

Copy a calibration curve.

Calculate C14 ages from pMC values.