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[ 原始碼: r-cran-polycub  ]

套件: 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.

其他與 r-cran-polycub 有關的套件

  • 依賴
  • 推薦
  • 建議
  • dep: libc6 (>= 2.4)
    GNU C Library: Shared libraries
    同時作為一個虛擬套件由這些套件提供: libc6-udeb
  • dep: r-api-3.5
    本虛擬套件由這些套件提供: 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

下載 r-cran-polycub

下載可用於所有硬體架構的
硬體架構 套件大小 安裝後大小 檔案
amd64 238.4 kB383 kB [文件列表]
armhf 237.9 kB374 kB [文件列表]