[ ソース: r-cran-polycub ]
パッケージ: r-cran-polycub (0.7.1-1)
r-cran-polycub に関するリンク
Trisquel の資源:
r-cran-polycub ソースパッケージをダウンロード:
- [r-cran-polycub_0.7.1-1.dsc]
- [r-cran-polycub_0.7.1.orig.tar.gz]
- [r-cran-polycub_0.7.1-1.debian.tar.xz]
メンテナ:
Original Maintainers:
- Debian R Packages Maintainers
- Andreas Tille
外部の資源:
- ホームページ [cran.r-project.org]
類似のパッケージ:
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.
その他の r-cran-polycub 関連パッケージ
|
|
|
-
- dep: libc6 (>= 2.4)
- GNU C Library: Shared libraries
以下のパッケージによって提供される仮想パッケージでもあります: libc6-udeb
-
- dep: r-api-3.5
- 以下のパッケージによって提供される仮想パッケージです: 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