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Package: r-cran-polycub (0.6.1-3ubuntu1)

GNU R 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.

Other Packages Related to r-cran-polycub

  • depends
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  • dep: libc6 (>= 2.4)
    GNU C Library: Shared libraries
    also a virtual package provided by libc6-udeb
  • dep: r-api-3.4
    virtual package provided by r-base-core
  • dep: r-base-core (>= 3.4.2-1ubuntu4)
    GNU R core of statistical computation and graphics system
  • dep: r-cran-sp (>= 1.0-11)
    GNU R classes and methods for spatial data
  • sug: r-cran-lattice
    GNU R package for 'Trellis' graphics
  • sug: r-cran-mvtnorm
    GNU R package to compute multivariate Normal and T distributions
  • sug: r-cran-spatstat
    GNU R Spatial Point Pattern analysis, model-fitting, simulation, tests
  • sug: r-cran-statmod
    GNU R package providing algorithms and functions for statistical modeling
  • sug: r-cran-testthat
    GNU R testsuite

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amd64 136.9 kB215 kB [list of files]
i386 137.0 kB214 kB [list of files]