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cgraph
View on CRAN: Click
here
Download and install cgraph package within the R console
Install from CRAN:
install.packages("cgraph")
Install from Github:
library("remotes")
install_github("cran/cgraph")
Install by package version:
library("remotes")
install_version("cgraph", "6.0.1")
Attach the package and use:
library("cgraph")
Maintained by
Ron Triepels
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-28
Latest Update: 2022-11-21
Description:
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 gradient-based optimization and machine learning.
How to cite:
Ron Triepels (2018). cgraph: Computational Graphs. R package version 6.0.1, https://cran.r-project.org/web/packages/cgraph
Previous versions and publish date:
1.0.1 (2018-07-28 17:50), 2.0.0 (2018-08-05 17:00), 2.0.1 (2018-08-13 11:00), 2.0.2 (2018-08-19 23:20), 2.0.3 (2018-09-24 20:50), 3.0.0 (2018-11-01 19:40), 3.0.1 (2018-11-05 10:20), 4.0.0 (2019-03-08 10:52), 4.0.1 (2019-03-11 09:42), 4.0.2 (2019-04-06 10:42), 4.0.3 (2019-04-08 17:42), 5.0.0 (2019-11-21 11:40), 5.0.1 (2019-11-26 15:10), 6.0.0 (2020-02-04 16:00), 6.0.1 (2020-02-09 17:50)
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