Create the oxcal model script

createOxcalModel(
  cdf,
  depths.to.model = NA,
  depth.interval = 10,
  thin = 50,
  n.it = 10000,
  events.per.unit.length = 1,
  events.per.unit.length.uncertainty = NA,
  seq.type = "P_Sequence",
  top.boundary = "Boundary",
  bottom.boundary = "Boundary",
  outlier.prob = 0.05,
  cal.curve = "intcal20"
)

Arguments

cdf

A data.frame of chron measurement data (output from createChronMeasInputDf())

depths.to.model

A vector of depths to model (default = create a sequence using depth.interval)

depth.interval

Depth interval to use to create depths.to.model (default = 10)

thin

Thinning parameter for OxCal (default = 50)

n.it

Number of iteration in model (default = 10000)

events.per.unit.length

How many events per unit length for the Poisson model? This controls the flexibility on the model, the lower the number the more flexibile.

events.per.unit.length.uncertainty

Uncertainty on events.per.unit.length in orders of magnitude. This makes for better models but *greatly* increases the run time. If NA or < 0 it runs without uncertainty (default = NA)

seq.type

What type of Oxcal sequence to use? (default = "P_Sequence")

top.boundary

What type of Oxcal boundary to use for the top (default = "Boundary")

bottom.boundary

What type of Oxcal boundary to use for the bottom (default = "Boundary")

outlier.prob

What's the probability of a date being an outlier if not otherwise specified (default= 0.05)

cal.curve

What calibration curve to use? Current options are "intcal20" (default), "marine20", "shcal20", "intcal13", "marine13", or "shcal13"

Value

a list of an oxcal model

See also