FTSgof: White Noise and Goodness-of-Fit Tests for Functional Time Series

It offers comprehensive tools for the analysis of functional time series data, focusing on white noise hypothesis testing and goodness-of-fit evaluations, alongside functions for simulating data and advanced visualization techniques, such as 3D rainbow plots. These methods are described in Kokoszka, Rice, and Shang (2017) <doi:10.1016/j.jmva.2017.08.004>, Yeh, Rice, and Dubin (2023) <doi:10.1214/23-EJS2112>, Kim, Kokoszka, and Rice (2023) <doi:10.1214/23-ss143>, and Rice, Wirjanto, and Zhao (2020) <doi:10.1111/jtsa.12532>.

Version:	1.0.0
Depends:	R (≥ 3.5.0)
Imports:	sde, graphics, stats, rgl, fda, nloptr, sfsmisc, MASS
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2024-10-03
DOI:	10.32614/CRAN.package.FTSgof
Author:	Mihyun Kim [aut, cre], Chi-Kuang Yeh [aut], Yuqian Zhao [aut], Gregory Rice [ctb]
Maintainer:	Mihyun Kim <mihyun.kim at mail.wvu.edu>
BugReports:	https://github.com/veritasmih/FTSgof/issues
License:	GPL-3
URL:	https://github.com/veritasmih/FTSgof
NeedsCompilation:	no
SystemRequirements:	XQuartz (https://www.xquartz.org/)
Language:	en-US
Materials:	README
CRAN checks:	FTSgof results

Documentation:

Reference manual:	FTSgof.pdf
Vignettes:	FTSgof (source, R code)

Downloads:

Package source:	FTSgof_1.0.0.tar.gz
Windows binaries:	r-devel: FTSgof_1.0.0.zip, r-release: FTSgof_1.0.0.zip, r-oldrel: FTSgof_1.0.0.zip
macOS binaries:	r-release (arm64): FTSgof_1.0.0.tgz, r-oldrel (arm64): FTSgof_1.0.0.tgz, r-release (x86_64): FTSgof_1.0.0.tgz, r-oldrel (x86_64): FTSgof_1.0.0.tgz

Linking:

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