套件：r-cran-polycub（0.8.0-2）

[ 原始碼： r-cran-polycub  ]

GNU R Cubature over Polygonal Domains

Numerical integration of continuously differentiable functions f(x,y) over simple closed polygonal domains. The following cubature methods are implemented: product Gauss cubature (Sommariva and Vianello, 2007, <doi:10.1007/s10543-007-0131-2>), the simple two-dimensional midpoint rule (wrapping 'spatstat.geom' functions), adaptive cubature for radially symmetric functions via line integrate() along the polygon boundary (Meyer and Held, 2014, <doi:10.1214/14-AOAS743>, Supplement B), and integration of the bivariate Gaussian density based on polygon triangulation. For simple integration along the axes, the 'cubature' package is more appropriate.

其他與 r-cran-polycub 有關的套件

• dep: libc6 (>= 2.17) [arm64, ppc64el]

  GNU C 函式庫：共用函式庫
  同時作為一個虛擬套件由這些套件填實： libc6-udeb

  dep: libc6 (>= 2.4) [除 arm64, ppc64el]

• dep: r-api-4.0

  本虛擬套件由這些套件填實： r-base-core

• dep: r-base-core (>= 4.0.3-1)

  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.geom

  GNU R geometrical functionality of the 'spatstat' package

• rec: r-cran-statmod

  GNU R package providing algorithms and functions for statistical modeling

• 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

• sug: r-cran-sf

  Simple Features for R

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硬體架構	套件大小	安裝後大小	檔案
amd64	249。8 kB	394。0 kB	[檔案列表]
arm64	249。7 kB	390。0 kB	[檔案列表]
armel	251。0 kB	389。0 kB	[檔案列表]
armhf	249。3 kB	385。0 kB	[檔案列表]
i386	250。0 kB	393。0 kB	[檔案列表]
mips64el	249。8 kB	390。0 kB	[檔案列表]
mipsel	249。8 kB	389。0 kB	[檔案列表]
ppc64el	250。5 kB	446。0 kB	[檔案列表]
s390x	249。8 kB	390。0 kB	[檔案列表]