R: Global Envelopes

# Global Envelopes

## Documentation for package ‘GET’ version 1.0-7

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

GET-package | Global Envelopes
abide_9002_23 | Local brain activity at resting state
adult_trees | Adult trees data set
as.curve_set | Convert an envelope or fdata object to a curve_set object
central_region | Central region / Global envelope
cgec | Centred government expenditure centralization ratios
combined_scaled_MAD_envelope_test | Combined global scaled maximum absolute difference (MAD) envelope tests
combine_forder | Functional ordering in parts
create_curve_set | Create a curve_set object
create_image_set | Create a curve set of images
crop_curves | Crop the curves
curve_set | Create a curve_set object
deviation_test | Deviation test
dg.global_envelope_test | Adjusted global envelope tests
fallen_trees | Fallen trees
fBoxplot | Functional boxplot
fclustering | Functional clustering
fdr_envelope | The FDR envelope
forder | Functional ordering
frank.fanova | Rank envelope F-test
frank.flm | F rank functional GLM
GDP | GDP
GDPtax | GDP per capita with country groups and profit tax
GeomCentralRegion | Central region plot
GeomCentralRegionMulti | Central region plot
geom_central_region | Central region plot
GET | Global Envelopes
GET.composite | Adjusted global envelope tests
GET.distrequal | Graphical n sample test of correspondence of distribution functions
GET.distrindep | Test of independence of two general distributions
GET.localcor | The test of local correlations
GET.necdf | Graphical n sample test of correspondence of distribution functions
GET.spatialF | Testing global and local dependence of point patterns on covariates
GET.variogram | Variogram and residual variogram with global envelopes
global_envelope | Central region / Global envelope
global_envelope_test | Global envelope test
global_rq | Global quantile regression
graph.fanova | One-way graphical functional ANOVA
graph.flm | Graphical functional GLM
hotspots.MatClustlpp | Hot spots detection for Matern point process - parallel version
hotspots.poislpp | Hot spots detection for Poisson point process - parallel version
imageset3 | A simulated set of images
is.curve_set | Check class.
MatClust.lppm | Fit a Matern cluster point process to a point pattern dataset on a linear network
naturalness | Simulated data set
partial_forder | Functional ordering in parts
plot.combined_fboxplot | Plot method for the class 'combined_fboxplot'
plot.combined_global_envelope | Plot method for the class 'combined_global_envelope'
plot.combined_global_envelope2d | Plotting function for combined 2d global envelopes
plot.curve_set | Plot method for the class 'curve_set'
plot.curve_set2d | Plot method for the class 'curve_set2d'
plot.fboxplot | Plot method for the class 'fboxplot'
plot.fclust | Plot method for the class 'fclust'
plot.global_envelope | Plot method for the class 'global_envelope'
plot.global_envelope2d | Plotting function for 2d global envelopes
pois.lppm | Fit a Poisson point process model to a point pattern dataset on a linear network
popgrowthmillion | Population growth
print.combined_fboxplot | Print method for the class 'combined_fboxplot'
print.combined_global_envelope | Print method for the class 'combined_global_envelope'
print.curve_set | Print method for the class 'curve_set'
print.deviation_test | Print method for the class 'deviation_test'
print.fboxplot | Print method for the class 'fboxplot'
print.fclust | Print method for the class 'fclust'
print.fdr_envelope | Print method for the class 'fdr_envelope'
print.GET_contingency | Print method for the class 'GET_contingency'
print.global_envelope | Print method for the class 'global_envelope'
qdir_envelope | Global scaled maximum absolute difference (MAD) envelope tests
rank_envelope | The rank envelope test
residual | Residual form of the functions
rimov | Year temperature curves
rMatClustlpp | Simulating the Matern cluster process on a linear network
roadcrash | Road crashes
saplings | Saplings data set
StatCentralRegion | Central region plot
stat_central_region | Central region plot
st_envelope | Global scaled maximum absolute difference (MAD) envelope tests
subset.curve_set | Subsetting curve sets
unscaled_envelope | Global scaled maximum absolute difference (MAD) envelope tests