Man pages for kidzik/fda.ts
Functional Time Series: Dynamic Functional Principal Components
| freqdom.fda-package | Functional time series: dynamic FPCA |
| fts.cov.structure | Estimate autocovariance and cross-covariances operators |
| fts.dpca | Compute Functional Dynamic Principal Components and dynamic... |
| fts.dpca.filters | Functional dynamic PCA filters |
| fts.dpca.KLexpansion | Dynamic KL expansion |
| fts.dpca.scores | Functional dynamic principal component scores |
| fts.dpca.var | Proportion of variance explained by dynamic principal... |
| fts.freqdom | Creates an object of class 'fts.freqdom'. |
| fts.plot.covariance | Contour plot for the kernels of cross-covariance operators. |
| fts.plot.filters | Plot kernels |
| fts.plot.operators | Contour plot of operator kernels. |
| fts.rar | Simulate functional autoregressive processes |
| fts.rma | Simulate functional moving average processes |
| fts.spectral.density | Functional spectral and cross-spectral density operator |
| fts.timedom | Object of class 'fts.timedom' |
| fts.timedom.trunc | Truncate functional timedom object |
| is.fts.freqdom | Checks if an object belongs to the class fts.freqdom |
| is.fts.timedom | Checks if an object belongs to the class fts.timedom |
| pm10 | PM10 dataset |
