Functional Time Series Analysis
Functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.
Selection of the number of principal components
Maximum autocorrelation factors
Multilevel functional data method
Multilevel functional principal component analysis for clustering
Testing stationarity of functional time series
Mean function, variance function, median function, trim mean function of functional data
Differences of a functional time series
Dynamic multilevel functional principal component analysis
Dynamic updates via functional linear regression
Dynamic updates via BM, OLS, RR and PLS methods
Forecast error measure
Extract variables or observations
Functional autocorrelation function
Functional data forecasting through functional principal component autoregression
Bootstrap independent and identically distributed functional data
Forecast functional time series
Forecasting via a high-dimensional functional principal component regression
Functional partial least squares regression
Fit functional time series model
Selection of the weight parameter used in the weighted functional time series model.
Simulated high-dimensional functional time series
High-dimensional functional principal component analysis
Test for functional time series
Integrated Squared Forecast Error for models of various orders
Estimating long-run covariance function for a functional time series
Mean functions for functional time series
Median functions for functional time series
Multiple funtional time series clustering
Bootstrap independent and identically distributed functional data or functional time series
Plot fitted model components for a functional model
Plot residuals from a fitted functional model.
Plot fitted model components for a functional time series model
Particulate Matter Concentrations (pm10)
Quantile
Quantile functions for functional time series
Compute residuals from a functional model
Standard deviation
Standard deviation functions for functional time series
Simulated multiple sets of functional time series
Detection of the optimal stopping time in a curve time series
Simulated functional time series from a functional autoregression of order one
Summary for functional time series model
Variance
Variance functions for functional time series
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