caracas: Computer Algebra

Computer algebra via the 'SymPy' library (<>). 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>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
SystemRequirements: Python (>= 3.6.0)
Materials: README NEWS
In views: NumericalMathematics
CRAN checks: caracas results


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'
Using the 'SymPy' object directly


Package source: caracas_1.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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