# ftsa v5.5

0

0th

Percentile

## Functional Time Series Analysis

Functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.

## Functions in ftsa

 Name Description centre Mean function, variance function, median function, trim mean function of functional data diff.fts Differences of a functional time series plot.ftsf Plot fitted model components for a functional time series model T_stationary Testing stationarity of functional time series MFDM Multilevel functional data method ftsa-package Functional Time Series Analysis ftsm Fit functional time series model extract Extract variables or observations facf Functional autocorrelation function is.fts Test for functional time series hd_data Simulated high-dimensional functional time series ftsmiterativeforecasts Forecast functional time series hdfpca High-dimensional functional principal component analysis ftsmweightselect Selection of the weight parameter used in the weighted functional time series model. pm_10_GR Particulate Matter Concentrations (pm10) isfe.fts Integrated Squared Forecast Error for models of various orders quantile Quantile sim_ex_cluster Simulated multiple sets of functional time series quantile.fts Quantile functions for functional time series residuals.fm Compute residuals from a functional model summary.fm Summary for functional time series model dmfpca Dynamic multilevel functional principal component analysis dynamic_FLR Dynamic updates via functional linear regression pcscorebootstrapdata Bootstrap independent and identically distributed functional data or functional time series forecastfplsr Forecast functional time series fplsr Functional partial least squares regression median.fts Median functions for functional time series plot.fm Plot fitted model components for a functional model sd.fts Standard deviation functions for functional time series sd Standard deviation mftsc Clustering multiple functional time series var Variance var.fts Variance functions for functional time series farforecast Functional data forecasting through functional principal component autoregression fbootstrap Bootstrap independent and identically distributed functional data long_run_covariance_estimation Estimating long-run covariance function for a functional time series mean.fts Mean functions for functional time series plot.ftsm Plot fitted model components for a functional time series model plotfplsr Plot fitted model components for a functional time series model dynupdate Dynamic updates via BM, OLS, RR and PLS methods error Forecast error measure forecast.ftsm Forecast functional time series forecast.hdfpca Forecasting via a high-dimensional functional principal component regression plot.fmres Plot residuals from a fitted functional model. No Results!