# r-recommended 4.0.3-1 (riscv64 binary) in ubuntu hirsute

R is a system for statistical computation and graphics. It consists

of a language plus a run-time environment with graphics, a debugger,

access to certain system functions, and the ability to run programs

stored in script files.

.

The design of R has been heavily influenced by two existing languages:

Becker, Chambers & Wilks' S and Sussman's Scheme. Whereas the

resulting language is very similar in appearance to S, the underlying

implementation and semantics are derived from Scheme.

.

The core of R is an interpreted computer language which allows

branching and looping as well as modular programming using functions.

Most of the user-visible functions in R are written in R. It is

possible for the user to interface to procedures written in the

C, C++, or FORTRAN languages for efficiency, and many of R's core

functions do so. The R distribution contains functionality for a

large number of statistical procedures and underlying applied math

computations. There is also a large set of functions which provide

a flexible graphical environment for creating various kinds of data

presentations.

.

Additionally, several thousand extension "packages" are available from

CRAN, the Comprehensive R Archive Network, many also as Debian packages,

named 'r-cran-<name>'.

.

This Debian package is now a metapackage that depends on a set of

packages that are recommended by the upstream R core team as part of a

complete R distribution, and distributed along with the source of R

itself, as well as directly via the CRAN network of mirrors. This set

comprises the following packages (listed in their upstream names):

- KernSmooth: Functions for kernel smoothing for Wand & Jones (1995)

- Matrix: Classes and methods for dense and sparse matrices and

operations on them using Lapack and SuiteSparse

- MASS, class, nnet and spatial: packages from Venables and Ripley,

`Modern Applied Statistics with S' (4th edition).

- boot: Bootstrap R (S-Plus) Functions from the book "Bootstrap Methods

and Their Applications" by A.C. Davison and D.V. Hinkley (1997).

- cluster: Functions for clustering (by Rousseeuw et al.)

- codetools: Code analysis tools for R

- foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, ...

- lattice: Implementation of Trellis (R) graphics

- mgcv: Multiple smoothing parameter estimation and GAMs by GCV

- nlme: Linear and nonlinear mixed effects models

- rpart: Recursive partitioning and regression trees

- survival: Survival analysis, including penalised likelihood.

## Details

- Package version:
- 4.0.3-1

- Status:
- Superseded

- Component:
- universe

- Priority:
- Optional

## Downloadable files

- r-recommended_4.0.3-1_all.deb (2.7 KiB)

## Package relationships

- Depends on:
- r-base-core (>= 4.0.3-1)
- r-cran-boot (>= 1.2.19)
- r-cran-class
- r-cran-cluster (>= 1.9.6-2)
- r-cran-codetools
- r-cran-foreign (>= 0.7-2)
- r-cran-kernsmooth (>= 2.2.14)
- r-cran-lattice (>= 0.10.11)
- r-cran-mass
- r-cran-matrix
- r-cran-mgcv (>= 1.1.5)
- r-cran-nlme (>= 3.1.52)
- r-cran-nnet
- r-cran-rpart (>= 3.1.20)
- r-cran-spatial
- r-cran-survival (>= 2.13.2-1)