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: 1.1.0
Depends: R (≥ 3.0), methods
Imports: reticulate (≥ 1.14), magrittr
Suggests: Matrix, testthat (≥ 2.1.0), knitr, rmarkdown
Published: 2021-04-08
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

Downloads:

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
Package source: caracas_1.1.0.tar.gz
Windows binaries: r-devel: caracas_1.1.0.zip, r-release: caracas_1.1.0.zip, r-oldrel: caracas_1.0.1.zip
macOS binaries: r-release: caracas_1.1.0.tgz, r-oldrel: caracas_1.1.0.tgz
Old sources: caracas archive

Linking:

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