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Paket: r-cran-polycub (0.7.1-1)

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.

Andere Pakete mit Bezug zu r-cran-polycub

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  • schlägt vor
  • dep: libc6 (>= 2.4)
    GNU C Library: Shared libraries
    auch ein virtuelles Paket, bereitgestellt durch libc6-udeb
  • dep: r-api-3.5
    virtuelles Paket, bereitgestellt durch r-base-core
  • dep: r-base-core (>= 3.6.1-2)
    GNU R core of statistical computation and graphics system
  • dep: r-cran-sp (>= 1.0-11)
    GNU R classes and methods for spatial data
  • rec: r-cran-spatstat
    GNU R Spatial Point Pattern analysis, model-fitting, simulation, tests
  • rec: r-cran-statmod
    GNU R package providing algorithms and functions for statistical modeling
  • rec: r-cran-testthat
    GNU R testsuite
  • sug: r-cran-cubature
    GNU R package for adaptive multivariate integration
  • sug: r-cran-knitr
    GNU R package for dynamic report generation using Literate Programming
  • 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-rmarkdown
    convert R markdown documents into a variety of formats

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