caracas: Computer Algebra

Computer algebra via the 'SymPy' library (<https://www.sympy.org/>). This makes it possible to solve equations symbolically, find symbolic integrals, symbolic sums and other important quantities.

Version:	1.1.2
Depends:	R (≥ 3.0), methods
Imports:	reticulate (≥ 1.14), magrittr
Suggests:	Matrix, testthat (≥ 2.1.0), knitr, rmarkdown
Published:	2022-02-11
Author:	Mikkel Meyer Andersen [aut, cre, cph], Søren Højsgaard [aut, cph]
Maintainer:	Mikkel Meyer Andersen <mikl at math.aau.dk>
BugReports:	https://github.com/r-cas/caracas/issues
License:	GPL-2 | GPL-3 [expanded from: GPL]
URL:	https://github.com/r-cas/caracas
NeedsCompilation:	no
SystemRequirements:	Python (>= 3.6.0)
Materials:	README NEWS
In views:	NumericalMathematics
CRAN checks:	caracas results

Documentation:

Reference manual:	caracas.pdf
Vignettes:	Concentration and covariance matrix in an autoregressive model and in a dynamic linear model Arbitrary precision arithmetic Fastest route through the forest Introduction to 'caracas' Linear algebra in 'caracas' Reference Using the 'SymPy' object directly

Downloads:

Package source:	caracas_1.1.2.tar.gz
Windows binaries:	r-devel: caracas_1.1.2.zip, r-release: caracas_1.1.2.zip, r-oldrel: caracas_1.1.2.zip
macOS binaries:	r-release (arm64): caracas_1.1.2.tgz, r-oldrel (arm64): caracas_1.1.2.tgz, r-release (x86_64): caracas_1.1.2.tgz, r-oldrel (x86_64): caracas_1.1.2.tgz
Old sources:	caracas archive

Reverse dependencies:

Reverse imports:

dimensionalAnalysis

Linking:

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