acf | ACF/PACF Functions |
acf.default | ACF/PACF Functions |
acf.dfts | ACF/PACF Functions |
adaptive_bandwidth | Adaptive_bandwidth |
as.dfts | dfts Objects |
autocorrelation | Estimate the autocorrelation function of the series |
autocovariance | Estimate the autocovariance function of the series |
average | Average Functions for dfts Objects |
bartlett_kernel | Kernel Functions |
cancer | Breast Cancer |
center | Generic Centering of Data |
center.data.frame | Generic Centering of Data |
center.default | Generic Centering of Data |
center.dfts | Generic Centering of Data |
center.matrix | Generic Centering of Data |
cidr | Compute (Overnight) Cumulative Intraday Returns |
confidence_interval | Change Point Confidence Intervals |
cumsum.dfts | Group Generic Functions |
daniell_kernel | Kernel Functions |
dfts | dfts Objects |
dfts_group | Group Generic Functions |
diff.dfts | Difference dfts |
dim.dfts | Dimension of dfts Object |
electricity | Spanish Spot Electricity Data |
extract | Extract or Replace parts of dfts object |
fchange | Change Point Detection |
flat_top_kernel | Kernel Functions |
generate_brownian_bridge | Generate a Brownian Bridge Process |
generate_brownian_motion | Generate a Brownian Motion Process |
generate_data | Generate Functional Data |
generate_far1 | Generate FAR(1) Data |
generate_karhunen_loeve | Generate functional data |
generate_ornstein_uhlenbeck | Generate Data via Ornstein-Uhlenbeck Process |
impute | Functional Imputation |
is.dfts | dfts Objects |
kernels | Kernel Functions |
kpss_test | Functional KPSS Test |
lag.dfts | Lag dfts objects |
long_run_covariance | Estimate Long-run Covariance Kernel |
Math.dfts | Group Generic Functions |
max.dfts | Max / Min for dfts Objects |
mean.dfts | Average Functions for dfts Objects |
median.dfts | Average Functions for dfts Objects |
min.dfts | Max / Min for dfts Objects |
minmax | Max / Min for dfts Objects |
ocidr | Compute (Overnight) Cumulative Intraday Returns |
Ops.dfts | Group Generic Functions |
pacf | ACF/PACF Functions |
pacf.default | ACF/PACF Functions |
pacf.dfts | ACF/PACF Functions |
parzen_kernel | Kernel Functions |
pca | Generic Function for Principal Component Analysis |
pca.default | Generic Function for Principal Component Analysis |
pca.dfts | Generic Function for Principal Component Analysis |
pca_components | Functional PCA Components |
pca_examination | Principal Component Exploration |
plot.dfts | Plot dfts objects |
portmanteau_tests | Functional Hypothesis Tests for Functional Data |
print.dfts | Print dfts objects |
projection_model | Projection-based functional data model |
qqplot | QQ Plot Generic Function |
qqplot.default | QQ Plot Generic Function |
qqplot.dfts | QQ Plot Generic Function |
quadratic_spectral_kernel | Kernel Functions |
quantile.dfts | Quantile dfts |
rates | US Yield Curves |
sacf | Functional Spherical Autocorrelation Function |
sd | Generic Function for Variance and Standard Deviation Computation |
sd.default | Generic Function for Variance and Standard Deviation Computation |
sd.dfts | Generic Function for Variance and Standard Deviation Computation |
sdvar | Generic Function for Variance and Standard Deviation Computation |
space_measuring_functions | Compute Spacing Measuring Functions |
SPYUS500 | S&P 500 Index Data |
stationarity_test | Functional Stationarity Test |
stat_3D | Draw 3D Geoms for ggplot2 |
summary.dfts | Summary for dfts Object |
temperature | Australian Temperature Data |
truncated_kernel | Kernel Functions |
tukey_hanning_kernel | Kernel Functions |
var | Generic Function for Variance and Standard Deviation Computation |
var.default | Generic Function for Variance and Standard Deviation Computation |
var.dfts | Generic Function for Variance and Standard Deviation Computation |
[.dfts | Extract or Replace parts of dfts object |
[<-.dfts | Extract or Replace parts of dfts object |