Other packages > Find by keyword >

cgraph  

Computational Graphs
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]
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. Accessed 21 Feb. 2025.
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)
Other packages that cited cgraph R package
View cgraph citation profile
Other R packages that cgraph depends, imports, suggests or enhances
Functions, R codes and Examples using the cgraph R package
Full cgraph package functions and examples
Downloads during the last 30 days
01/2201/2601/2901/3001/3102/0402/0502/0602/0702/0802/1002/1202/1302/1402/1502/1702/1802/19Downloads for cgraph051015202530354045TrendBars
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

BTdecayLasso  
Bradley-Terry Model with Exponential Time Decayed Log-Likelihood and Adaptive Lasso
We utilize the Bradley-Terry Model to estimate the abilities of teams using paired comparison data. ...
Download / Learn more Package Citations See dependency  
divDyn  
Diversity Dynamics using Fossil Sampling Data
Functions to describe sampling and diversity dynamics of fossil occurrence datasets (e.g. from the P ...
Download / Learn more Package Citations See dependency  
PCLassoReg  
Group Regression Models for Risk Protein Complex Identification
Two protein complex-based group regression models (PCLasso and PCLasso2) for risk protein complex id ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
gorpiper  
GORpipe Tool for R
R library for executing GOR queries using local GORpipe. ...
Download / Learn more Package Citations See dependency  
GEint  
Misspecified Models for Gene-Environment Interaction
The first major functionality is to compute the bias in misspecified linear gene-environment interac ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,631

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA