bootstrap
to calculate bootstrap statistics and
create an object of class
bootstrap
which inherits from
resamp
.
bootstats(replicates, observed, n, call, seed.start, seed.end, dim.obs=NULL, group=NULL, indices=NULL)
bootstats
. Should contain arguments
specifying the
data
and
statistic
used in the fit. Used in
limits.bca
to identify data and statistic to jackknife when calculating the acceleration,
and by
update.bootstrap
and
jack.after.bootstrap
.
bootstats
.
Used by
jack.after.bootstrap
to reproduce indices used in sampling. May be a legal random number seed
or a number between 0 and 1000.
dim.obs
. This is used in
plot.resamp
and
qqnorm.resamp
to control the layout of plots.
group
variable, if any.
bootstrap
which inherits from
resamp
. This has
components
call
,
observed
,
replicates
,
estimate
,
B
,
n
,
dim.obs
,
group
,
seed.start
,
seed.end
, and possibly
indices
.
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.