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R logo. R packages are extensions to the R statistical programming language.R packages contain code, data, and documentation in a standardised collection format that can be installed by users of R, typically via a centralised software repository such as CRAN (the Comprehensive R Archive Network).
R is a programming language for statistical computing and data visualization.It has been adopted in the fields of data mining, bioinformatics and data analysis. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.
jamovi is an open source graphical user interface for the R programming language. [3] It is used in statistical research, especially as a tool for ANOVA (analysis of variance) and to understand statistical inference. [4] [5] It also can be used for linear regression, [6] mixed models and Bayesian models. [7]
He co-authored two books based on S, S Programming and Modern Applied Statistics with S. [3] [4] Since mid-1997 he is a member of the "R Core Team" [6] and from 2000 to 2021 he was one of the most active committers to the R core. [7] The package MASS [8] is one of only fifteen "recommended packages" [9] for R (with June 2024 more than 20,900 [10]).
Several packages have been developed which implement some variants of the Vecchia approximation. GPvecchia is an R package available through CRAN which implements most versions of the Vecchia approximation; GpGp is an R package available through CRAN which implements an scalable ordering method for spatial problems which greatly improves accuracy.
GPL v.3 or later FOSS statistics program, intended as an alternative to IBM SPSS Statistics. [Note 2] R: R Foundation 1997 1997 4.3.2 31 October 2023: Free GPL: Primarily for statistics, but there are many interfaces to open-source numerical software SageMath: William Stein: 2005 10.2 3 December 2023: Free GPL
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JMP – visual analysis and statistics package; LIMDEP – comprehensive statistics and econometrics package; LISREL – statistics package used in structural equation modeling; Maple – programming language with statistical features; Mathematica – a software package with statistical particularly ŋ features