A.modelled              Calculate modelled 210Pb
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.
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
agemodel.it             Extract one age-model iteration
bacon2clam              Translate Bacon .csv files to clam .csv files.
calib.plot              Plot the dates
calib.plumbacon.plot    Plot the dates
clam2bacon              Translate clam .csv files to Bacon .csv files.
copyCalibrationCurve    Copy a calibration curve.
draw.pbmodelled         Plot the 210Pb data
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.
