Reference

All functions
EEF.profile() EL.profile()	Empirical Likelihoods
imp.moments() imp.prob() imp.quantile()	Importance Sampling Estimates
abc.ci()	Nonparametric ABC Confidence Intervals
acme	Monthly Excess Returns
aids	Delay in AIDS Reporting in England and Wales
aircondit	Failures of Air-conditioning Equipment
amis	Car Speeding and Warning Signs
aml	Remission Times for Acute Myelogenous Leukaemia
beaver	Beaver Body Temperature Data
bigcity	Population of U.S. Cities
boot()	Bootstrap Resampling
boot.array()	Bootstrap Resampling Arrays
boot.ci()	Nonparametric Bootstrap Confidence Intervals
brambles	Spatial Location of Bramble Canes
breslow	Smoking Deaths Among Doctors
calcium	Calcium Uptake Data
cane	Sugar-cane Disease Data
capability	Simulated Manufacturing Process Data
catsM	Weight Data for Domestic Cats
cav	Position of Muscle Caveolae
cd4	CD4 Counts for HIV-Positive Patients
cd4.nested	Nested Bootstrap of cd4 data
censboot()	Bootstrap for Censored Data
channing	Channing House Data
claridge	Genetic Links to Left-handedness
cloth	Number of Flaws in Cloth
co.transfer	Carbon Monoxide Transfer
coal	Dates of Coal Mining Disasters
control()	Control Variate Calculations
corr()	Correlation Coefficient
cum3()	Calculate Third Order Cumulants
cv.glm()	Cross-validation for Generalized Linear Models
darwin	Darwin's Plant Height Differences
dogs	Cardiac Data for Domestic Dogs
downs.bc	Incidence of Down's Syndrome in British Columbia
ducks	Behavioral and Plumage Characteristics of Hybrid Ducks
empinf()	Empirical Influence Values
envelope()	Confidence Envelopes for Curves
exp.tilt()	Exponential Tilting
fir	Counts of Balsam-fir Seedlings
freq.array()	Bootstrap Frequency Arrays
frets	Head Dimensions in Brothers
glm.diag()	Generalized Linear Model Diagnostics
glm.diag.plots()	Diagnostics plots for generalized linear models
gravity	Acceleration Due to Gravity
hirose	Failure Time of PET Film
imp.weights()	Importance Sampling Weights
inv.logit()	Inverse Logit Function
islay	Jura Quartzite Azimuths on Islay
jack.after.boot()	Jackknife-after-Bootstrap Plots
k3.linear()	Linear Skewness Estimate
linear.approx()	Linear Approximation of Bootstrap Replicates
lines(<saddle.distn>)	Add a Saddlepoint Approximation to a Plot
logit()	Logit of Proportions
manaus	Average Heights of the Rio Negro river at Manaus
melanoma	Survival from Malignant Melanoma
motor	Data from a Simulated Motorcycle Accident
neuro	Neurophysiological Point Process Data
nitrofen	Toxicity of Nitrofen in Aquatic Systems
nodal	Nodal Involvement in Prostate Cancer
norm.ci()	Normal Approximation Confidence Intervals
nuclear	Nuclear Power Station Construction Data
paulsen	Neurotransmission in Guinea Pig Brains
plot(<boot>)	Plots of the Output of a Bootstrap Simulation
poisons	Animal Survival Times
polar	Pole Positions of New Caledonian Laterites
print(<boot>)	Print a Summary of a Bootstrap Object
print(<bootci>)	Print Bootstrap Confidence Intervals
print(<saddle.distn>)	Print Quantiles of Saddlepoint Approximations
print(<simplex>)	Print Solution to Linear Programming Problem
remission	Cancer Remission and Cell Activity
saddle()	Saddlepoint Approximations for Bootstrap Statistics
saddle.distn()	Saddlepoint Distribution Approximations for Bootstrap Statistics
saddle.distn.object	Saddlepoint Distribution Approximation Objects
salinity	Water Salinity and River Discharge
simplex()	Simplex Method for Linear Programming Problems
simplex.object	Linear Programming Solution Objects
smooth.f()	Smooth Distributions on Data Points
sunspot	Annual Mean Sunspot Numbers
survival	Survival of Rats after Radiation Doses
tau	Tau Particle Decay Modes
tilt.boot()	Non-parametric Tilted Bootstrap
tsboot()	Bootstrapping of Time Series
tuna	Tuna Sighting Data
urine	Urine Analysis Data
var.linear()	Linear Variance Estimate
wool	Australian Relative Wool Prices