ftsa: Functional Time Series Analysis

Functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.

Version: 6.1
Depends: R (≥ 3.5.0), forecast, rainbow, sde
Imports: colorspace, MASS, pcaPP, fda, pdfCluster, ecp, strucchange, e1071, psych, fGarch, KernSmooth, vars, boot, fdapace, LaplacesDemon, evgam, ROOPSD, glue
Suggests: fds, R2jags, meboot
Published: 2021-11-02
Author: Rob Hyndman ORCID iD [aut], Han Lin Shang ORCID iD [aut, cre, cph]
Maintainer: Han Lin Shang <hanlin.shang at mq.edu.au>
License: GPL-3
NeedsCompilation: no
Citation: ftsa citation info
Materials: ChangeLog
In views: FunctionalData, TimeSeries
CRAN checks: ftsa results

Documentation:

Reference manual: ftsa.pdf

Downloads:

Package source: ftsa_6.1.tar.gz
Windows binaries: r-devel: ftsa_6.1.zip, r-release: ftsa_6.1.zip, r-oldrel: ftsa_6.1.zip
macOS binaries: r-release (arm64): ftsa_6.1.tgz, r-release (x86_64): ftsa_6.1.tgz, r-oldrel: ftsa_6.1.tgz
Old sources: ftsa archive

Reverse dependencies:

Reverse depends: Rothermel
Reverse imports: demography, RcmdrPlugin.RiskDemo, wwntests

Linking:

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