jackknife
to calculate jackknife statistics and
create an object of class
jackknife
which inherits from
resamp
.
jackstats(replicates, observed, n, call, seed.start, dim.obs=NULL)
group.size
not equal to one.
jackstats
.
jackstats
.
Because the resampling
indices are not random with jackknifing,
this seed is only of interest when
the statistic uses randomization, or
group.size
is not equal to one.
dim.obs
. Used in
plot.resamp
and
qqnorm.resamp
to control the layout of plots.
jackknife
which inherits from
resamp
. This has
components
call
,
observed
,
replicates
,
estimate
,
B
,
n
,
dim.obs
,
and
seed.start
. The data frame
estimate
has three columns containing
the bootstrap estimates of
Bias
,
Mean
, and
SE
.
Efron, B. and Tibshirani, R. J. (1993).
An Introduction to the Bootstrap.
San Francisco: Chapman & Hall.
Shao, J. and Tu, D. (1995).
The Jackknife and Bootstrap.
New York: Springer-Verlag.