tensorA: Advanced Tensor Arithmetic with Named Indices

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
Depends:	R (≥ 2.2.0), stats
Published:	2020-11-19
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

Documentation:

Reference manual:

tensorA.pdf

Downloads:

Package source:	tensorA_0.36.2.tar.gz
Windows binaries:	r-devel: tensorA_0.36.2.zip, r-release: tensorA_0.36.2.zip, r-oldrel: tensorA_0.36.2.zip
macOS binaries:	r-release (arm64): tensorA_0.36.2.tgz, r-oldrel (arm64): tensorA_0.36.2.tgz, r-release (x86_64): tensorA_0.36.2.tgz, r-oldrel (x86_64): tensorA_0.36.2.tgz
Old sources:	tensorA archive

Reverse dependencies:

Reverse imports:

compositions, EasyABC, eventstream, MCMCglmm, posterior

Linking:

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