BchronDensityFast {Bchron} | R Documentation |
This function runs a non-parametric phase model on 14C and non-14C ages via Gaussian Mixture density estimation through the mclust package
BchronDensityFast(
ages,
ageSds,
calCurves,
pathToCalCurves = system.file("data", package = "Bchron"),
dfs = rep(100, length(ages)),
samples = 2000,
G = 30
)
ages |
A vector of ages (most likely 14C) |
ageSds |
A vector of 1-sigma values for the ages given above |
calCurves |
A vector of values containing either |
pathToCalCurves |
File path to where the calibration curves are located. Defaults to the system directory where the 3 standard calibration curves are stored. |
dfs |
Degrees-of-freedom values for the t-distribution associated with the calibration calculation. A large value indicates Gaussian distributions assumed for the 14C ages |
samples |
Number of samples of calibrated dates required |
G |
Number of Gaussian mixture components |
This is a faster approximate version of BchronDensity
that uses the densityMclust
function to compute the Gaussian mixtures for a set of calibrated ages. The method is an approximation as it does not fit a fully Bayesian model as BchronDensity
does. It is designed to be a probabilistic version of the Oxcal SUM command which takes calibrated ages and sums the probability distributions with the aim of estimating activity through age as a proxy.
An object of class BchronDensityRunFast
with the following components:
out |
The output from the run of |
calAges |
The calibrated ages from the |
Bchronology
, BchronCalibrate
, BchronRSL
, BchronDensity
for a slower exact version of this function
# Read in some data from Sluggan Moss
data(Sluggan)
# Run the model
SlugDensFast <- with(
Sluggan,
BchronDensityFast(
ages = ages,
ageSds = ageSds,
calCurves = calCurves
)
)
# plot it
plot(SlugDensFast)