generate.stepsize() where it
would not handle same values in min & max dating properly.check.number().datsteps() with
the argument calc = "weight" or
calc = "probability"datsteps() with the argument
cumulative = TRUE. This only works with probability
calculation instead of the original (weights) calculation.datsteps().scaleweight().get.weights() to
1 / (abs(DAT_min - DAT_max) + 1) to get real probability
values for each year. This only has a real effect when using a stepsize
of 1, as it makes the weight-values usable as “dating probability”.calculate.outputrows() and
scaleweight() somewhat.NEWS.md file to track changes to the
package
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