conformalInference.fd: Tools for Conformal Inference for Regression in Multivariate Functional Setting (original) (raw)
It computes full conformal, split conformal and multi split conformal prediction regions when the response has functional nature. Moreover, the package also contain a plot function to visualize the output of the split conformal. To guarantee consistency, the package structure mimics the univariate 'conformalInference' package of professor Ryan Tibshirani. The main references for the code are: Diquigiovanni, Fontana, and Vantini (2021) <doi:10.48550/arXiv.2102.06746>, Diquigiovanni, Fontana, and Vantini (2021) <doi:10.48550/arXiv.2106.01792>, Solari, and Djordjilovic (2021) <doi:10.48550/arXiv.2103.00627>.
| Version: | 1.1.1 |
|---|---|
| Depends: | R (≥ 4.1.0) |
| Imports: | fda (≥ 5.5.1), future (≥ 1.23.0), future.apply (≥ 1.8.1), ggplot2 (≥ 3.3.5), stats, utils, methods, ggnewscale, ggpubr, scales |
| Suggests: | roahd, pbapply |
| Published: | 2022-03-23 |
| DOI: | 10.32614/CRAN.package.conformalInference.fd |
| Author: | Jacopo Diquigiovanni [aut, ths], Matteo Fontana [aut, ths], Aldo Solari [aut, ths], Simone Vantini [aut, ths], Paolo Vergottini [aut, cre], Ryan Tibshirani [ctb] |
| Maintainer: | Paolo Vergottini <paolo.vergottini at gmail.com> |
| License: | GPL-2 |
| URL: | https://github.com/ryantibs/conformal ,https://github.com/paolo-vergo/conformalInference.fd |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | FunctionalData |
| CRAN checks: | conformalInference.fd results |
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