Learn R Programming

⚠️There's a newer version (6.5) of this package.Take me there.

ftsa (version 2.4)

Functional time series analysis

Description

Functions for functional time series

Copy Link

Version

Install

install.packages('ftsa')

Monthly Downloads

4,042

Version

2.4

License

GPL (>= 2)

Maintainer

Han Lin Shang

Last Published

December 9th, 2010

Functions in ftsa (2.4)

plot.ftsm

Plot fitted model components for a functional time series model
median.fts

Median functions for functional time series
sd

Standard deviation
var.fts

Variance functions for functional time series
error

Forecast error measure
sd.fts

Standard deviation functions for functional time series
plot.ftsf

Plot fitted model components for a functional time series model
ftsm

Fit functional time series model
plot.fm

Plot fitted model components for a functional model
fbootstrap

Bootstrap independent and identically distributed functional data
diff.fts

Differences of a functional time series
fplsr

Functional partial least squares regression
ftsa-package

Functional time series analysis
dynupdate

Dynamic updates via BM, OLS, RR and PLS methods
extract

Extract variables or observations
mean.fts

Mean functions for functional time series
forecast.ftsm

Forecast functional time series
residuals.fm

Compute residuals from a functional model
isfe.fts

Integrated Squared Forecast Error for models of various orders
is.fts

Test for functional time series
var

Variance
quantile.fts

Quantile functions for functional time series
summary.fm

Summary for functional time series model
median

Median
plot.fmres

Plot residuals from a fitted functional model.