Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (6.5) of this package.
Take me there.
ftsa (version 1.0)
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
1.0
License
GPL (>= 2)
Maintainer
Han Lin Shang
Last Published
September 12th, 2009
Functions in ftsa (1.0)
Search all functions
plot.fm
Plot fitted model components for a functional model
mean.fts
Mean functions for functional time series
ftsa-package
Functional time series analysis
dynupdate
Dynamic updates via OLS and PLS methods
plot.fmres
Plot residuals from a fitted functional model.
cm.spline
Monotonic interpolating splines
extract
Extract variables or observations
residuals.fm
Compute residuals from a functional model
summary.fm
Summary for functional time series model
diff.fts
Differences of a functional time series
quantile.fts
Quantile functions for functional time series
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
sd
Standard deviation
var
Variance
forecast.ftsm
Forecast functional time series
ftsm
Fit functional time series model
median
Median
fbootstrap
Bootstrap independent and identically distributed functional data
median.fts
Median functions for functional time series
fplsr
Functional partial least squares regression
is.fts
Test for functional time series
error
Forecast error measure
sd.fts
Standard deviation functions for functional time series