Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (6.5) of this package.
Take me there.
ftsa (version 2.0)
Functional time series analysis
Description
Functions for functional time series
Copy Link
Link to current version
Version
Version
6.5
6.4
6.3
6.2
6.1
6.0
5.9
5.8
5.7
5.6
5.5
5.4
5.3
5.2
5.1
5.0
4.9
4.8
4.7
4.6
4.5
4.4
4.3
4.2
4.1
4.0
3.9
3.8
3.7
3.6
3.5
3.4
3.3
3.2
3.1
3.0
2.9
2.8
2.7
2.6
2.5
2.4
2.3
2.2
2.1
2.0
1.9
1.8
1.7
1.6
1.5
1.4
1.3
1.2
1.1
1.0
Install
install.packages('ftsa')
Monthly Downloads
4,042
Version
2.0
License
GPL (>= 2)
Maintainer
Han Lin Shang
Last Published
October 14th, 2010
Functions in ftsa (2.0)
Search all functions
fbootstrap
Bootstrap independent and identically distributed functional data
diff.fts
Differences of a functional time series
dynupdate
Dynamic updates via BM, OLS, RR and PLS methods
forecast.ftsm
Forecast functional time series
quantile.fts
Quantile functions for functional time series
sd
Standard deviation
median.fts
Median functions for functional time series
is.fts
Test for functional time series
sd.fts
Standard deviation functions for functional time series
plot.fmres
Plot residuals from a fitted functional model.
summary.fm
Summary for functional time series model
residuals.fm
Compute residuals from a functional model
plot.ftsm
Plot fitted model components for a functional time series model
mean.fts
Mean functions for functional time series
var
Variance
error
Forecast error measure
median
Median
extract
Extract variables or observations
plot.fm
Plot fitted model components for a functional model
ftsa-package
Functional time series analysis
plot.ftsf
Plot fitted model components for a functional time series model
var.fts
Variance functions for functional time series
isfe.fts
Integrated Squared Forecast Error for models of various orders
ftsm
Fit functional time series model
fplsr
Functional partial least squares regression