R: Functions for the Book "Bootstrap for Dependent Data, with an R Package"

# Functions for the Book "Bootstrap for Dependent Data, with an R Package"

## Documentation for package ‘boodd’ version 0.1

- DESCRIPTION file

## Help Pages

boodd-package | Package boodd: bootstrap for dependent data
acfCoeff | Fourier Coefficients Estimation of the Mean and Autocovariance Functions.
acfCoeff.default | Fourier Coefficients Estimation of the Mean and Autocovariance Functions.
acfCoeff.embb | Characteristics for Extension of Moving Block Bootstrap Class
acfCoeff.ts | Fourier Coefficients Estimation of the Mean and Autocovariance Functions.
aidedboot | Aided Frequency Bootstrap
b.star | Bootstrap Block Length Choice in the Stationary Case
bandw1 | Computing the Bandwidth of the Kernel Density Estimators.
best.block.sub.size | Optimal Block Subsampling Size
best.sub.size.iid | Optimal Block Subsampling or MOON Bootstrap Sizes for I.I.D. Data
block.sub | Block Subsampling
blockboot | Block Bootstrap
blockboot.seasonal | Generalized Seasonal Block Bootstrap for Time Series.
boodd | Package boodd: bootstrap for dependent data
bootglm | Bootstrap for Generalized Linear Model
boots | Bootstrap for the I.I.D. Case
bootsemi | Semiparametric Bootstrap
boot_dist | Bootstrap Distribution
boot_local | TFT Local Bootstrap.
boot_res | TFT Residual Bootstrap.
boot_wild | TFT wild bootstrap.
bopt_circy | Optimal Bootstrap Block Length for Periodically Correlated Time Series.
class.boodd | Objects of Class 'boodd'
compute_power | Compute the Power of a Statistical Test
confint.boodd | Calculate Confidence Intervals for 'boodd' Objects.
embb | Characteristics for Extension of Moving Block Bootstrap Class
embb.sample | EMBB Method
fastNadaraya | Nadaraya-Watson Estimator for Transition Densities for Markov chains.
field.sub | Subsampling of Random Fields
fieldboot | Block Bootstrap of Random Field
fieldbootP | Bootstrap Sample from the Random Field
findBestEpsilon | Optimal Size of Small Sets
freqboot | Frequency Domain Bootstrap
ftrunc | Robust Estimators of the Mean Based on Regeneration Blocks.
func_fdb | Functional Bootstrap in the Frequency Domain (FDB)
f_PseudoBlocks | Compute the Value of the Function on a (Pseudo)-Regenerative Blocks.
genETARCH | Generate an Exponential TAR-ARCH Process
genMM1 | Generate an M/M/1 Queue Process
GetBlocks | Compute Block Splitting for Atomic Markov Chains
GetPseudoBlocks | Computing Pseudo-regenerative Blocks
jackFunc | Jackknife Variance Function
jackFuncBlock | Jackknife Variance Function Using Blocks of Fixed Length
jackFuncRegen | Jackknife Variance Function for Markov Chains Using Regenerative Blocks
jackVar | Jackknife Variance Estimator
jackVarBlock | Jackknife Variance Estimator Based on Fixed Length Blocks
jackVarField | Jackknife Variance for Random Fields Based on Blocks
jackVarRegen | Jackknife Variance Estimator for Regenerative Processes
jackVarRegen.atom | Jackknife Variance Estimator for Atomic Markov Chains
jackVarRegen.smallEnsemble | Jackknife Variance Estimation for General Harris Markov Chains
lam | Lag window
mark_boot | Bootstraping Markov chain
meanCoeff | Fourier Coefficients Estimation of the Mean and Autocovariance Functions.
meanCoeff.default | Fourier Coefficients Estimation of the Mean and Autocovariance Functions.
meanCoeff.embb | Characteristics for Extension of Moving Block Bootstrap Class
meanCoeff.ts | Fourier Coefficients Estimation of the Mean and Autocovariance Functions.
naradamar | Nadaraya-Watson Estimator for Transition Densities.
para.boot | Parametric Bootstrap for i.i.d. Data
per_boo | Bootstrap of Periodogram
pkc | Plot Kernel Density Estimates for Null and Alternative Distributions.
plot.boodd | Plot an Object of Class 'boodd'
qVar | Estimating Variance of a Quantile
rate.block.sub | Block Subsampling for Time Series with Convergence Rate Estimation
rate.sub | Subsampling for i.i.d. Data with Convergence Rate Estimation
regenboot | Regenerative and Approximative Regenerative Block Bootstrap.
seasonalACF | Computes time domain characteristics of periodically correlated time series
seasonalACF.default | Computes time domain characteristics of periodically correlated time series
seasonalACF.embb | Characteristics for Extension of Moving Block Bootstrap Class
seasonalACF.ts | Computes time domain characteristics of periodically correlated time series
seasonalMean | Computes time domain characteristics of periodically correlated time series
seasonalMean.default | Computes time domain characteristics of periodically correlated time series
seasonalMean.embb | Characteristics for Extension of Moving Block Bootstrap Class
seasonalMean.ts | Computes time domain characteristics of periodically correlated time series
seasonalVar | Computes time domain characteristics of periodically correlated time series
seasonalVar.default | Computes time domain characteristics of periodically correlated time series
seasonalVar.embb | Characteristics for Extension of Moving Block Bootstrap Class
seasonalVar.ts | Computes time domain characteristics of periodically correlated time series
sieveboot | Autoregressive Sieve Bootstrap
smallEnsemble | Class 'smallEnsemble'
summary.boodd | Summary for Objects of Class boodd
tboot_dist | Computation of the Bootstrap-t Distribution
tft_boot | TFT Bootstrap.
thetaARBB | Compute the Extremal Index for Non-Atomic Markov Chains Using Pseudo-Regenerative Blocks
thetaARRB | Compute the Extremal Index for Non-Atomic Markov Chains Using Pseudo-Regenerative Blocks
thetaRB | Compute the Extremal Index for Atomic Markov Chains Using Regenerative Blocks
zi_inar_process | Generate a ZI-INAR Process