simulate()
.bootstrap()
method for MeanDate
objects gained new interval
, seed
and rare
arguments.bootstrap()
method for MeanDate
objects: revert the change introduced in v1.1.0. By default, bootstrap replicates are drawn from a multinomial distribution.Depends
.as_seriation()
to coerce objects to seriation orders.assess()
to test the significance of seriation solutions (#4).density_event()
and density_accumulation()
to compute density estimates of event and accumulation dates.order_rows()
and order_columns()
to get permutation order.refine()
to refine CA-based seriation.predict_event()
and predict_accumulation()
: supplementary rows are no longer ignored.jackknife()
and bootstrap()
methods for EventDate-class
.get_order()
and seriate_refine()
.hist()
methods.Depends
.event()
.image()
methods.coef()
, fitted()
, residuals()
, sigma()
and terms()
to extract values from EventDate
objects.MeanDate
, AoristicSum
, RateOfChange
and IncrementTest
classes now inherit from TimeSeries
(see aion).autoplot()
methods).mcd()
methods now return a MeanDate
object.seriate_refine()
method for PermutationOrder
objects.refine()
.cutoff
argument of event()
is defunct (use rank
instead).seriate_rank()
, seriate_average()
, permute()
, get_order()
.SimulationMeanDate
to store mean date estimations from simulated assemblages.simulate()
method for MeanDate
objects.bootstrap()
method for MeanDate
objects: resample with replacement instead of simulating observations from a multinomial distribution.aoristic()
now calculates weights within the time blocks rather than at the break dates between blocks.Add the following code to your website.
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