Provides an array of white noise hypothesis tests for functional data and related visualizations. These include tests based on the norms of autocovariance operators that are built under both strong and weak white noise assumptions. Additionally, tests based on the spectral density operator and on principal component dimensional reduction are included, which are built under strong white noise assumptions. These methods are described in Kokoszka et al. (2017) <doi:10.1016/j.jmva.2017.08.004>, Characiejus and Rice (2019) <doi:10.1016/j.ecosta.2019.01.003>, and Gabrys and Kokoszka (2007) <doi:10.1198/016214507000001111>, respectively.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.4.0) |
| Imports: | sde, stats, ftsa, rainbow, MASS, graphics |
| Suggests: | testthat, knitr, rmarkdown, fOptions, CompQuadForm, tensorA |
| Published: | 2020-05-18 |
| Author: | Daniel Petoukhov [aut, cre] |
| Maintainer: | Daniel Petoukhov <dvpetouk at uwaterloo.ca> |
| BugReports: | https://github.com/jimthemadmanlahey/wwntests/issues |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | TimeSeries |
| CRAN checks: | wwntests results |
| Reference manual: | wwntests.pdf |
| Vignettes: |
The wwntests package |
| Package source: | wwntests_1.0.1.tar.gz |
| Windows binaries: | r-devel: wwntests_1.0.1.zip, r-release: wwntests_1.0.1.zip, r-oldrel: wwntests_1.0.1.zip |
| macOS binaries: | r-release: wwntests_1.0.1.tgz, r-oldrel: wwntests_1.0.1.tgz |
| Old sources: | wwntests archive |
Please use the canonical form https://CRAN.R-project.org/package=wwntests to link to this page.