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 |