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: 2.0.0
Depends: R (≥ 3.0), methods
Imports: reticulate (≥ 1.14), Matrix, doBy (≥ 4.6.15), magrittr
Suggests: Ryacas, testthat (≥ 2.1.0), knitr, rmarkdown, tinytex, magick, pdftools, qpdf
Published: 2023-01-31
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: 01 - Introduction to 'caracas'
03 - Objects in 'caracas'
05 - Extending 'caracas'
11 - Linear algebra in 'caracas'
21 - Concentration and covariance matrix in an autoregressive model and in a dynamic linear model
22 - Fastest route through the forest
91 - Using the 'SymPy' object directly
95 - Arbitrary precision arithmetic
99 - Reference

Downloads:

Package source: caracas_2.0.0.tar.gz
Windows binaries: r-devel: caracas_2.0.0.zip, r-release: caracas_1.1.2.zip, r-oldrel: caracas_2.0.0.zip
macOS binaries: r-release (arm64): caracas_2.0.0.tgz, r-oldrel (arm64): caracas_2.0.0.tgz, r-release (x86_64): caracas_2.0.0.tgz, r-oldrel (x86_64): caracas_2.0.0.tgz
Old sources: caracas archive

Reverse dependencies:

Reverse imports: dimensionalAnalysis

Linking:

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