available.h0 | Available global bandwidth range |
bivariate.density | Bivariate kernel density/intensity estimation |
BOOT.density | Bootstrap bandwidth for a spatial kernel density estimate |
BOOT.spattemp | Bootstrap bandwidths for a spatiotemporal kernel density... |
burk | Burkitt's lymphoma in Uganda |
CV | Cross-validation bandwidths for spatial kernel density... |
fft2d | 2D fast-Fourier wrapper around 'fftwtools' or 'stats' package |
fmd | Veterinary foot-and-mouth disease outbreak data |
LSCV.risk | Jointly optimal bandwidth selection for the spatial relative... |
LSCV.spattemp | Cross-validation bandwidths for spatiotemporal kernel density... |
multiscale.density | Multi-scale adaptive kernel density/intensity estimation |
multiscale.slice | Slicing a multi-scale density/intensity object |
NS | Normal scale (NS) bandwidth selector |
OS | Oversmoothing (OS) bandwidth selector |
pbc | Primary biliary cirrhosis data |
plotsparr | Plotting sparr objects |
printsparr | Printing sparr objects |
rimpoly | Random point generation inside polygon |
risk | Spatial relative risk/density ratio |
SLIK.adapt | Simultaneous global/pilot likelihood bandwidth selection |
sparr-internal | Internal 'sparr' functions |
sparr-package | The sparr Package: Spatial and Spatiotemporal Relative Risk |
spattemp.density | Spatiotemporal kernel density estimation |
spattemp.risk | Spatiotemporal relative risk/density ratio |
spattemp.slice | Slicing a spatiotemporal object |
summarysparr | Summarising sparr objects |
tol.classify | Classification by _p_-value surfaces |
tol.classplot | Plot tolerance contour classification scheme |
tol.contour | Plot tolerance contours |
tolerance | Tolerance by _p_-value surfaces |
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