Generates jackknife estimations of an event date.
Usage
# S4 method for class 'EventDate'
jackknife(
object,
level = 0.95,
calendar = get_calendar(),
progress = getOption("kairos.progress"),
verbose = getOption("kairos.verbose"),
...
)
Arguments
- object
- level
A length-one
numeric
vector giving the confidence level.- calendar
An
aion::TimeScale
object specifying the target calendar (seeaion::calendar()
). IfNULL
, rata die are returned.- progress
A
logical
scalar: should a progress bar be displayed?- verbose
A
logical
scalar: should R report extra information on progress?- ...
Further arguments to be passed to internal methods.
Value
A data.frame
.
Details
One type/fabric is removed at a time and all statistics are recalculated. In this way, one can assess whether certain type/fabric has a substantial influence on the date estimate.
A three columns data.frame
is returned, giving the results of the
resampling procedure (jackknifing fabrics) for each assemblage (in rows)
with the following columns:
mean
The jackknife mean (event date).
lower
The lower boundary of the confidence interval.
upper
The upper boundary of the confidence interval.
See also
Other resampling methods:
bootstrap.EventDate
,
bootstrap.MeanDate
,
jackknife.MeanDate
,
simulate.MeanDate()