freqdom.fda-package |
Functional time series: dynamic FPCA |
fda.ts |
Functional time series: dynamic FPCA |
fts.cov.structure |
Estimate autocovariance and cross-covariances operators |
fts.dpca |
Compute Functional Dynamic Principal Components and dynamic Karhunen Loeve extepansion |
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 components |
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' |
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 |
_PACKAGE |
Functional time series: dynamic FPCA |