Functional time series analysis

Documentation for package ‘ftsa’ version 1.6

ftsa-package	Functional time series analysis
cm.spline	Monotonic interpolating splines
diff.fts	Differences of a functional time series
dynupdate	Dynamic updates via BM, OLS, RR and PLS methods
error	Forecast error measure
extract	Extract variables or observations
fbootstrap	Bootstrap independent and identically distributed functional data
forecast.ftsm	Forecast functional time series
fplsr	Functional partial least squares regression
ftsm	Fit functional time series model
is.fts	Test for functional time series
isfe.fts	Integrated Squared Forecast Error for models of various orders
mean.fts	Mean functions for functional time series
median	Median
median.default	Median
median.fts	Median functions for 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
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
summary.fm	Summary for functional time series model
var	Variance
var.default	Variance
var.fts	Variance functions for functional time series