Implementation of global envelopes for a set of general d-dimensional vectors T in various applications. A 100(1-alpha)% global envelope is a band bounded by two vectors such that the probability that T falls outside this envelope in any of the d points is equal to alpha. Global means that the probability is controlled simultaneously for all the d elements of the vectors. The global envelopes can be used for graphical Monte Carlo and permutation tests where the test statistic is a multivariate vector or function (e.g. goodness-of-fit testing for point patterns and random sets, functional analysis of variance, functional general linear model, n-sample test of correspondence of distribution functions), for central regions of functional or multivariate data (e.g. outlier detection, functional boxplot) and for global confidence and prediction bands (e.g. confidence band in polynomial regression, Bayesian posterior prediction). See Myllymäki and Mrkvička (2023) <doi:10.48550/arXiv.1911.06583>, Myllymäki et al. (2017) <doi:10.1111/rssb.12172>, Mrkvička and Myllymäki (2023) <doi:10.1007/s11222-023-10275-7>, Mrkvička et al. (2016) <doi:10.1016/j.spasta.2016.04.005>, Mrkvička et al. (2017) <doi:10.1007/s11222-016-9683-9>, Mrkvička et al. (2020) <doi:10.14736/kyb-2020-3-0432>, Mrkvička et al. (2021) <doi:10.1007/s11009-019-09756-y>, Myllymäki et al. (2021) <doi:10.1016/j.spasta.2020.100436>, Mrkvička et al. (2022) <doi:10.1002/sim.9236>, Dai et al. (2022) <doi:10.5772/intechopen.100124>, Dvořák and Mrkvička (2022) <doi:10.1007/s00180-021-01134-y>, Mrkvička et al. (2023) <doi:10.48550/arXiv.2309.04746>, and Konstantinou et al. (2024) <doi:10.48550/arXiv.2403.01838>.
| Version: | 1.0-3 |
| Depends: | R (≥ 2.10) |
| Imports: | cluster, ggplot2, grDevices, grid, gridExtra, parallel, stats, utils, viridisLite |
| Suggests: | crayon, datasets, geoR, gstat, fda, fda.usc, locfit, mvtnorm, patchwork, quantreg, R.rsp, sp, spatstat.geom, spatstat.explore, spatstat.model, spatstat.linnet, testthat |
| Published: | 2024-08-19 |
| DOI: | 10.32614/CRAN.package.GET |
| Author: | Mari Myllymäki [aut, cre], Tomáš Mrkvička [aut], Mikko Kuronen [ctb], Jiří Dvořák [ctb], Pavel Grabarnik [ctb], Ute Hahn [ctb], Michael Rost [ctb], Henri Seijo [ctb] |
| Maintainer: | Mari Myllymäki <mari.myllymaki at luke.fi> |
| BugReports: | https://github.com/myllym/GET/issues |
| License: | GPL-3 |
| URL: | https://github.com/myllym/GET |
| NeedsCompilation: | no |
| Citation: | GET citation info |
| Materials: | README NEWS |
| CRAN checks: | GET results |
| Reference manual: | GET.pdf |
| Vignettes: |
GET: FDR envelopes (source) GET: Global envelopes in R (source) GET: Hotspot detection on a linear network (source) GET: Quantile regression (source) GET: Point patterns (source) |
| Package source: | GET_1.0-3.tar.gz |
| Windows binaries: | r-devel: GET_1.0-3.zip, r-release: GET_1.0-3.zip, r-oldrel: GET_1.0-3.zip |
| macOS binaries: | r-release (arm64): GET_1.0-3.tgz, r-oldrel (arm64): GET_1.0-3.tgz, r-release (x86_64): GET_1.0-3.tgz, r-oldrel (x86_64): GET_1.0-3.tgz |
| Old sources: | GET archive |
| Reverse imports: | dispRity, ecostats, NTSS |
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