jackknife | R Documentation |
Jackknife resampling
## S4 method for signature 'FLQuant'
jackknife(object, dim = "year", na.rm = TRUE)
## S4 method for signature 'FLQuants'
jackknife(object, ...)
## S4 method for signature 'FLModel'
jackknife(object, slot)
The jackknife
method sets up objects ready for jackknifing, i.e. to
systematically recompute a given statistic leaving out one observation at a
time. From this new set of "observations" for the statistic, estimates for
the bias and variance of the statstic can be calculated.
Input objects cannot have length > 1 along the iter
dimension, and
the main slot in the resulting object will have as many iter
s as the
number of elements in the original object that are not NA
.
jackknife(object, ...)
The FLR Team
FLQuantJK
FLParJK
flq <- FLQuant(1:8)
flj <- jackknife(flq)
iters(flj)
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