| 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 |