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 ORCID iD [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

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