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: | 1.0.1 |
Depends: | R (≥ 3.0) |
Imports: | reticulate (≥ 1.14) |
Suggests: | testthat (≥ 2.1.0), knitr, rmarkdown |
Published: | 2020-05-21 |
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 |
Reference manual: | caracas.pdf |
Vignettes: |
Fastest route through the forest Introduction to 'caracas' The structure of the concentration and covariance matrix in a naive Bayes model Reference Using the 'SymPy' object directly |
Package source: | caracas_1.0.1.tar.gz |
Windows binaries: | r-devel: caracas_1.0.1.zip, r-release: caracas_1.0.1.zip, r-oldrel: caracas_1.0.1.zip |
macOS binaries: | r-release: caracas_1.0.1.tgz, r-oldrel: caracas_1.0.1.tgz |
Old sources: | caracas archive |
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