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Provides convenience functions for advanced linear algebra with tensors and computation with data sets of tensors on a higher level abstraction. It includes Einstein and Riemann summing conventions, dragging, co- and contravariate indices, parallel computations on sequences of tensors.
| Version: | 0.36.2.1 |
| Depends: | R (≥ 2.2.0), stats |
| Published: | 2023-12-13 |
| DOI: | 10.32614/CRAN.package.tensorA |
| Author: | K. Gerald van den Boogaart |
| Maintainer: | K. Gerald van den Boogaart <boogaart at math.tu-freiberg.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.stat.boogaart.de/tensorA/ |
| NeedsCompilation: | yes |
| CRAN checks: | tensorA results |
| Reference manual: | tensorA.pdf |
| Package source: | tensorA_0.36.2.1.tar.gz |
| Windows binaries: | r-devel: tensorA_0.36.2.1.zip, r-release: tensorA_0.36.2.1.zip, r-oldrel: tensorA_0.36.2.1.zip |
| macOS binaries: | r-release (arm64): tensorA_0.36.2.1.tgz, r-oldrel (arm64): tensorA_0.36.2.1.tgz, r-release (x86_64): tensorA_0.36.2.1.tgz, r-oldrel (x86_64): tensorA_0.36.2.1.tgz |
| Old sources: | tensorA archive |
| Reverse imports: | compositions, EasyABC, eventstream, MCMCglmm, posterior, VBTree |
| Reverse suggests: | wwntests |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.