Package: GET 1.0-3

GET: Global Envelopes

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>.

Authors: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]

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NEWS

# Install 'GET' in R:
install.packages('GET', repos = c('https://myllym.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/myllym/get/issues

Datasets:

On CRAN:

37 exports 10 stars 6.24 score 30 dependencies 4 dependents 89 mentions 25 scripts 1.0k downloads

Last updated 29 days agofrom:927c1ab6e3. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 19 2024
R-4.5-winWARNINGAug 19 2024
R-4.5-linuxWARNINGAug 19 2024
R-4.4-winWARNINGAug 19 2024
R-4.4-macWARNINGAug 19 2024
R-4.3-winWARNINGAug 19 2024
R-4.3-macWARNINGAug 19 2024

Exports:as.curve_setcentral_regioncombine_fordercombined_scaled_MAD_envelope_testcreate_curve_setcreate_image_setcrop_curvescurve_setdeviation_testfBoxplotfclusteringfdr_envelopeforderfrank.fanovafrank.flmgeom_central_regionGeomCentralRegionGeomCentralRegionMultiGET.compositeGET.distrequalGET.distrindepGET.localcorGET.spatialFGET.variogramglobal_envelope_testglobal_rqgraph.fanovagraph.flmis.curve_setpartial_forderqdir_enveloperank_enveloperesidualst_envelopestat_central_regionStatCentralRegionunscaled_envelope

Dependencies:cliclustercolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

GET: FDR envelopes

Rendered fromFDRenvelopes.tex.rspusingR.rsp::rspon Aug 19 2024.

Last update: 2024-05-01
Started: 2023-03-05

GET: Global envelopes in R

Rendered fromGET.tex.rspusingR.rsp::rspon Aug 19 2024.

Last update: 2024-08-19
Started: 2021-01-14

GET: Hotspot detection on a linear network

Rendered fromHotSpots.tex.rspusingR.rsp::rspon Aug 19 2024.

Last update: 2024-08-19
Started: 2023-09-27

GET: Point patterns

Rendered frompointpatterns.tex.rspusingR.rsp::rspon Aug 19 2024.

Last update: 2024-04-29
Started: 2020-12-31

GET: Quantile regression

Rendered fromQuantileRegression.tex.rspusingR.rsp::rspon Aug 19 2024.

Last update: 2024-04-29
Started: 2024-04-29

Readme and manuals

Help Manual

Help pageTopics
Global EnvelopesGET-package GET
Local brain activity at resting stateabide_9002_23
Adult trees data setadult_trees
Convert an envelope or fdata object to a curve_set objectas.curve_set
Central region / Global envelopecentral_region global_envelope
Centred government expenditure centralization ratioscgec
Combined global scaled maximum absolute difference (MAD) envelope testscombined_scaled_MAD_envelope_test
Create a curve set of imagescreate_image_set
Crop the curvescrop_curves
Create a curve_set objectcreate_curve_set curve_set
Deviation testdeviation_test
Fallen treesfallen_trees
Functional boxplotfBoxplot
Functional clusteringfclustering
The FDR envelopefdr_envelope
Functional orderingforder
Rank envelope F-testfrank.fanova
F rank functional GLMfrank.flm
GDPGDP
GDP per capita with country groups and profit taxGDPtax
Central region plotgeom_central_region stat_central_region
Adjusted global envelope testsdg.global_envelope_test GET.composite
Graphical n sample test of correspondence of distribution functionsGET.distrequal GET.necdf
Test of independence of two general distributionsGET.distrindep
The test of local correlationsGET.localcor
Testing global and local dependence of point patterns on covariatesGET.spatialF
Variogram and residual variogram with global envelopesGET.variogram
Global envelope testglobal_envelope_test
Global quantile regressionglobal_rq
One-way graphical functional ANOVAgraph.fanova
Graphical functional GLMgraph.flm
A simulated set of imagesimageset3
Check class.is.curve_set
Simulated data setnaturalness
Functional ordering in partscombine_forder partial_forder
Plot method for the class 'combined_fboxplot'plot.combined_fboxplot
Plot method for the class 'combined_global_envelope'plot.combined_global_envelope
Plotting function for combined 2d global envelopesplot.combined_global_envelope2d
Plot method for the class 'curve_set'plot.curve_set
Plot method for the class 'curve_set2d'plot.curve_set2d
Plot method for the class 'fboxplot'plot.fboxplot
Plot method for the class 'fclust'plot.fclust
Plot method for the class 'global_envelope'plot.global_envelope
Plotting function for 2d global envelopesplot.global_envelope2d
Population growthpopgrowthmillion
Print method for the class 'combined_fboxplot'print.combined_fboxplot
Print method for the class 'combined_global_envelope'print.combined_global_envelope
Print method for the class 'curve_set'print.curve_set
Print method for the class 'deviation_test'print.deviation_test
Print method for the class 'fboxplot'print.fboxplot
Print method for the class 'fclust'print.fclust
Print method for the class 'fdr_envelope'print.fdr_envelope
Print method for the class 'GET_contingency'print.GET_contingency
Print method for the class 'global_envelope'print.global_envelope
Global scaled maximum absolute difference (MAD) envelope testsqdir_envelope st_envelope unscaled_envelope
The rank envelope testrank_envelope
Residual form of the functionsresidual
Year temperature curvesrimov
Road crashesroadcrash
Saplings data setsaplings
Central region plotGeomCentralRegion GeomCentralRegionMulti StatCentralRegion
Subsetting curve setssubset.curve_set