# Age-Depth Modelling using Bayesian Statistics

## Documentation for package ‘rbacon’ version 2.3.4

- DESCRIPTION file.

## Help Pages

rbacon-package | rbacon
accrate.age | Obtain estimated accumulation rates for any age of a core.
accrate.age.ghost | Plot a core's accumulation rates against calendar time.
accrate.depth | Obtain estimated accumulation rates as for any depth of a core.
accrate.depth.ghost | Plot modelled accumulation rates against the depths of a core.
add.dates | Add dates to age-depth plots
age.pMC | Calculate pMC values from C14 ages
agedepth | Plot an age-depth model
AgesOfEvents | Event probabilities against calendar age
Bacon | Main age-depth modelling function
Bacon.Age.d | Output all ages for a single depth.
Bacon.cleanup | Remove files made to produce the current core's age-depth model.
Bacon.hist | Calculate age distributions of depths.
Baconvergence | Test to identify poorly mixed MCMC runs.
Bacon_runs | List the folders present in the current core directory.
calib.plot | Plot the dates
copyCalibrationCurve | Copy a calibration curve.
flux.age.ghost | Plot flux rates for proxies.
mix.curves | Build a custom-made, mixed calibration curve.
pMC.age | Calculate C14 ages from pMC values.
proxy.ghost | 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.
rbacon | rbacon
scissors | Remove the first n iterations.
thinner | Thin iterations by given proportion, for example if autocorrelation is visible within the MCMC series, and then update the output file.