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.
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