Package: sparr 2.3-15

Tilman M. Davies

sparr: Spatial and Spatiotemporal Relative Risk

Provides functions to estimate kernel-smoothed spatial and spatio-temporal densities and relative risk functions, and perform subsequent inference. Methodological details can be found in the accompanying tutorial: Davies et al. (2018) <doi:10.1002/sim.7577>.

Authors:Tilman M. Davies [aut, cre], Jonathan C. Marshall [aut]

sparr_2.3-15.tar.gz
sparr_2.3-15.zip(r-4.5)sparr_2.3-15.zip(r-4.4)sparr_2.3-15.zip(r-4.3)
sparr_2.3-15.tgz(r-4.4-any)sparr_2.3-15.tgz(r-4.3-any)
sparr_2.3-15.tar.gz(r-4.5-noble)sparr_2.3-15.tar.gz(r-4.4-noble)
sparr_2.3-15.tgz(r-4.4-emscripten)sparr_2.3-15.tgz(r-4.3-emscripten)
sparr.pdf |sparr.html✨
sparr/json (API)

# Install 'sparr' in R:

install.packages('sparr', repos = c('https://tilmandavies.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tilmandavies/sparr/issues

Datasets:

burk - Burkitt's lymphoma in Uganda
fmd - Veterinary foot-and-mouth disease outbreak data
pbc - Primary biliary cirrhosis data

On CRAN:

26 exports 7 stars 2.91 score 25 dependencies 7 dependents 4 mentions 84 scripts 1.7k downloads

Last updated 2 months agofrom:7a2d3f8857. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 05 2024
R-4.5-win	NOTE	Sep 05 2024
R-4.5-linux	NOTE	Sep 05 2024
R-4.4-win	NOTE	Sep 05 2024
R-4.4-mac	NOTE	Sep 05 2024
R-4.3-win	NOTE	Sep 05 2024
R-4.3-mac	NOTE	Sep 05 2024

Exports:available.h0 bivariate.density BOOT.density BOOT.spattemp fft2d LIK.density LIK.spattemp LSCV.density LSCV.risk LSCV.spattemp multiscale.density multiscale.slice NS NS.spattemp OS OS.spattemp rimpoly risk SLIK.adapt spattemp.density spattemp.risk spattemp.slice tol.classify tol.classplot tol.contour tolerance

Dependencies:abind codetools deldir doParallel foreach goftest iterators lattice Matrix mgcv misc3d nlme polyclip rpart spatstat spatstat.data spatstat.explore spatstat.geom spatstat.linnet spatstat.model spatstat.random spatstat.sparse spatstat.univar spatstat.utils tensor

Citation

Development and contributors

Readme and manuals

Help Manual

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