# NOT RUN {
# load retiolitid dataset
data(retiolitinae)
# uniform prior, with a 10 million year offset for
# the expected tree age from the earliest first appearance
createMrBayesTipCalibrations(
tipTimes = retioRanges,
whichAppearance = "first",
ageCalibrationType = "uniformRange",
treeAgeOffset = 10)
# fixed prior, at the earliest bound for the first appearance
createMrBayesTipCalibrations(
tipTimes = retioRanges,
whichAppearance = "first",
ageCalibrationType = "fixedDateEarlier",
treeAgeOffset = 10
)
# fixed prior, sampled from between the bounds on the last appearance
# you should probably never do this, fyi
createMrBayesTipCalibrations(
tipTimes = retioRanges,
whichAppearance = "first",
ageCalibrationType = "fixedDateRandom",
treeAgeOffset = 10
)
# }
# NOT RUN {
createMrBayesTipCalibrations(
tipTimes = retioRanges,
whichAppearance = "first",
ageCalibrationType = "uniformRange",
treeAgeOffset = 10,
file = "tipCalibrations.txt"
)
# }
# NOT RUN {
# }
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