Allows to create, evaluate, and differentiate computational graphs in R. A computational graph is a graph representation of a multivariate function decomposed by its (elementary) operations. Nodes in the graph represent arrays while edges represent dependencies among the arrays. An advantage of expressing a function as a computational graph is that this enables to differentiate the function by automatic differentiation. The 'cgraph' package supports various operations including basic arithmetic, trigonometry operations, and linear algebra operations. It differentiates computational graphs by reverse automatic differentiation. The flexible architecture of the package makes it applicable to solve a variety of problems including local sensitivity analysis, gradientbased optimization, and machine learning.
Package details 


Author  Ron Triepels 
Maintainer  Ron Triepels <[email protected]> 
License  Apache License 2.0 
Version  3.0.1 
URL  https://cgraph.org/ 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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