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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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.