polyCub: Cubature over Polygonal Domains

The following methods for cubature (numerical integration) over polygonal domains are currently implemented: the two-dimensional midpoint rule as a simple wrapper around as.im.function() from package 'spatstat' (Baddeley and Turner, 2005), the product Gauss cubature by Sommariva and Vianello (2007), an adaptive cubature for isotropic functions via line integrate() along the boundary (Meyer and Held, 2014), and quasi-exact methods specific to the integration of the bivariate Gaussian density over polygonal and circular domains (based on formulae from the Abramowitz and Stegun (1972) handbook). For cubature over simple hypercubes, the packages 'cubature' and 'R2Cuba' are more appropriate.

Version: 0.6.0
Depends: R (≥ 2.15.0), methods, sp
Imports: grDevices, graphics, stats, spatstat
Suggests: lattice, testthat, mvtnorm, statmod, rgeos, gpclib
Published: 2017-05-26
Author: Sebastian Meyer [aut, cre, trl], Leonhard Held [ths], Michael Hoehle [ths]
Maintainer: Sebastian Meyer <seb.meyer at fau.de>
BugReports: https://github.com/WastlM/polyCub/issues
License: GPL-2
URL: https://github.com/WastlM/polyCub
NeedsCompilation: yes
Citation: polyCub citation info
Materials: README NEWS
In views: NumericalMathematics
CRAN checks: polyCub results


Reference manual: polyCub.pdf
Package source: polyCub_0.6.0.tar.gz
Windows binaries: r-devel: polyCub_0.5-2.zip, r-release: polyCub_0.5-2.zip, r-oldrel: polyCub_0.5-2.zip
OS X El Capitan binaries: r-release: polyCub_0.5-2.tgz
OS X Mavericks binaries: r-oldrel: polyCub_0.5-2.tgz
Old sources: polyCub archive

Reverse dependencies:

Reverse depends: rase, surveillance


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