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"
)
A data.frame of chron measurement data (output from createChronMeasInputDf())
A vector of depths to model (default = create a sequence using depth.interval)
Depth interval to use to create depths.to.model (default = 10)
Thinning parameter for OxCal (default = 50)
Number of iteration in model (default = 10000)
How many events per unit length for the Poisson model? This controls the flexibility on the model, the lower the number the more flexibile.
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)
What type of Oxcal sequence to use? (default = "P_Sequence")
What type of Oxcal boundary to use for the top (default = "Boundary")
What type of Oxcal boundary to use for the bottom (default = "Boundary")
What's the probability of a date being an outlier if not otherwise specified (default= 0.05)
What calibration curve to use? Current options are "intcal20" (default), "marine20", "shcal20", "intcal13", "marine13", or "shcal13"
a list of an oxcal model
Other oxcal:
getModelParametersFromOxcalText()
,
loadOxcalOutput()
,
oxCalDateExpression()
,
runOxcal()