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