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ftsa: Functional Time Series Analysis

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

Version: 6.4
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, methods
Suggests: fds, R2jags, meboot
Published: 2024-01-23
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
Materials: ChangeLog
In views: FunctionalData
CRAN checks: ftsa results

Documentation:

Reference manual: ftsa.pdf

Downloads:

Package source: ftsa_6.4.tar.gz
Windows binaries: r-devel: ftsa_6.4.zip, r-release: ftsa_6.4.zip, r-oldrel: ftsa_6.4.zip
macOS binaries: r-release (arm64): ftsa_6.4.tgz, r-oldrel (arm64): ftsa_6.4.tgz, r-release (x86_64): ftsa_6.4.tgz, r-oldrel (x86_64): ftsa_6.4.tgz
Old sources: ftsa archive

Reverse dependencies:

Reverse imports: demography, RcmdrPlugin.RiskDemo, Rfssa, wwntests

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ftsa to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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