# Functional Time Series Analysis

## Documentation for package ‘ftsa’ version 5.5

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

ftsa-package | Functional Time Series Analysis
centre | Mean function, variance function, median function, trim mean function of functional data
diff.fts | Differences of a functional time series
dmfpca | Dynamic multilevel functional principal component analysis
dynamic_FLR | Dynamic updates via functional linear regression
dynupdate | Dynamic updates via BM, OLS, RR and PLS methods
error | Forecast error measure
extract | Extract variables or observations
facf | Functional autocorrelation function
farforecast | Functional data forecasting through functional principal component autoregression
fbootstrap | Bootstrap independent and identically distributed functional data
forecast.ftsm | Forecast functional time series
forecast.hdfpca | Forecasting via a high-dimensional functional principal component regression
forecastfplsr | Forecast functional time series
fplsr | Functional partial least squares regression
ftsa | Functional Time Series Analysis
ftsm | Fit functional time series model
ftsmiterativeforecasts | Forecast functional time series
ftsmweightselect | Selection of the weight parameter used in the weighted functional time series model.
hdfpca | High-dimensional functional principal component analysis
hd_data | Simulated high-dimensional functional time series
is.fts | Test for functional time series
isfe.fts | Integrated Squared Forecast Error for models of various orders
long_run_covariance_estimation | Estimating long-run covariance function for a functional time series
mean.fts | Mean functions for functional time series
median.fts | Median functions for functional time series
MFDM | Multilevel functional data method
mftsc | Clustering multiple functional time series
pcscorebootstrapdata | Bootstrap independent and identically distributed functional data or functional time series
plot.fm | Plot fitted model components for a functional model
plot.fmres | Plot residuals from a fitted functional model.
plot.ftsf | Plot fitted model components for a functional time series model
plot.ftsm | Plot fitted model components for a functional time series model
plotfplsr | Plot fitted model components for a functional time series model
pm_10_GR | Particulate Matter Concentrations (pm10)
pm_10_GR_sqrt | Particulate Matter Concentrations (pm10)
quantile | Quantile
quantile.fts | Quantile functions for functional time series
residuals.fm | Compute residuals from a functional model
sd | Standard deviation
sd.default | Standard deviation
sd.fts | Standard deviation functions for functional time series
sim_ex_cluster | Simulated multiple sets of functional time series
summary.fm | Summary for functional time series model
T_stationary | Testing stationarity of functional time series
var | Variance
var.default | Variance
var.fts | Variance functions for functional time series