A Computer Algebra System for R: Macaulay2 and the m2r Package
Dublin Core
Title
A Computer Algebra System for R: Macaulay2 and the m2r Package
Subject
R, Macaulay2, algebraic statistics
Description
Algebraic methods have a long history in statistics. Apart from the ubiquitous applications of linear algebra, the most visible manifestations of modern algebra in statistics
are found in the young field of algebraic statistics, which brings tools from commutative
algebra and algebraic geometry to bear on statistical problems. Now over two decades old,
algebraic statistics has applications in a wide range of theoretical and applied statistical
domains. Nevertheless, algebraic statistical methods are still not mainstream, mostly due
to a lack of easy off-the-shelf implementations. In this article we debut m2r, an R package
that connects R to Macaulay2 through a persistent back-end socket connection running
locally or on a cloud server. Topics range from basic use of m2r to applications and design
philosoph
are found in the young field of algebraic statistics, which brings tools from commutative
algebra and algebraic geometry to bear on statistical problems. Now over two decades old,
algebraic statistics has applications in a wide range of theoretical and applied statistical
domains. Nevertheless, algebraic statistical methods are still not mainstream, mostly due
to a lack of easy off-the-shelf implementations. In this article we debut m2r, an R package
that connects R to Macaulay2 through a persistent back-end socket connection running
locally or on a cloud server. Topics range from basic use of m2r to applications and design
philosoph
Creator
David Kahle
Source
https://www.jstatsoft.org/article/view/v093i09
Publisher
Baylor University
Date
April 2020
Contributor
Fajar bagus W
Format
PDF
Language
Inggris
Type
Text
Files
Collection
Citation
David Kahle, “A Computer Algebra System for R: Macaulay2 and the m2r Package,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8128.