ftsa: Functional Time Series Analysis

Functions for visualizing, modeling, forecasting and hypothesis testing of functional time series. \n Jim\'{e}nez-Var\'{o}n, C., Sun, Y. and Shang, H. L. (2023) <arXiv: 2305.19749>.

Version:	6.2
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:	2023-06-01
Author:	Rob Hyndman [aut], Han Lin Shang [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_6.2.tar.gz
Windows binaries:	r-devel: ftsa_6.2.zip, r-release: ftsa_6.2.zip, r-oldrel: ftsa_6.2.zip
macOS binaries:	r-release (arm64): ftsa_6.2.tgz, r-oldrel (arm64): ftsa_6.2.tgz, r-release (x86_64): ftsa_6.2.tgz, r-oldrel (x86_64): ftsa_6.2.tgz
Old sources:	ftsa archive

Reverse dependencies:

Reverse imports:

demography, RcmdrPlugin.RiskDemo, wwntests

Linking:

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