The R Project SVN R-packages

Bootstrap R Functions
=====================

Version 1.3; May 2011:

The main change is support for parallel computation in functions
boot(), censboot() and tsboot().

Many of the examples have been tidied up.


Version 1.2; March 2001:

This version corrects some minor errors in Version 1.0 of the code
distributed with the first printing of Davison and Hinkley (1997).
The author would like to thank those users who pointed out errors or
possible improvements to the code.  Any further errors found should be
reported to the author (Angelo Canty) for correction in the next
version.

The package contains the following functions, all of which
have online help available.

abc.ci      ABC confidence intervals
boot        Main bootstrap function
boot.array  Generate a bootstrap frequency/index array
boot.ci     Bootstrap simulation confidence intervals
censboot    Bootstrap for censored data
control     Control variate calculations
corr        Weighted form of correlation coefficient
cum3        Estimate the skewness
cv.glm      Cross-validation for generalized linear models
empinf      Calculate empirical influence values
envelope    Confidence envelopes for functions
exp.tilt    Exponential tilting
freq.array  Convert an index array into a frequency array
glm.diag    Diagnostics for generalized linear models
glm.diag.plots  Diagnostic plots for glm's
imp.moments Importance resampling estimates of moments
imp.prob    Importance resampling estimates of probabilities
imp.quantile    Importance resampling estimates of quantiles
imp.weights Weights for importance resampling
inv.logit   Inverse logit function
jack.after.boot Jackknife after bootstrap plots
k3.linear   Linear skewness approximation
linear.approx   Linear approximation to a statistic
lines.saddle.distn  Lines method for a saddlepoint distribution object
logit       Logit of a proportion
norm.ci     Normal approximation confidence intervals
plot.boot   Plot method for a bootstrap object
print.boot  Print method for a bootstrap object
print.bootci    Print method for a bootstrap confidence interval object
print.saddle.distn  Print method for a saddlepoint distribution object
print.simplex   Print method for a simplex object
saddle      Simple and conditional saddlepoint calculations
saddle.distn    Approximate a distribution by saddlepoint
simplex     Tableau simplex method for linear programming
smooth.f    Frequency smoothing
tilt.boot   Tilted bootstrap
tsboot      Bootstrap for time series
var.linear  Linear variance approximation

The package also contains some items used in the practicals of
"Bootstrap Methods and Their Applications" by A.C. Davison and D.V. Hinkley
(1997, Cambridge University Press).  The objects are not intended to be used
except in the context of these practicals.  The objects are

cd4.nested  A nested bootstrap referred to in Practical 5.5
corr.nested The statistic used in cd4.nested
EL.profile, EEF.profile, and lik.CI 
    functions defined for use in the practicals of chapter 10.