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 Dec. 2024.
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

helda  
Preprocess Data and Get Better Insights from Machine Learning Models
The main focus is on preprocessing and data visualization of machine learning models performances.So ...
Download / Learn more Package Citations See dependency  
condGEE  
Parameter Estimation in Conditional GEE for Recurrent Event Gap Times
Solves for the mean parameters, the variance parameter, and their asymptotic variance in a condition ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
batteryreduction  
An R Package for Data Reduction by Battery Reduction
Battery reduction is a method used in data reduction. It uses Gram-Schmidt orthogonal rotations to f ...
Download / Learn more Package Citations See dependency  
CIFsmry  
Weighted summary of cumulative incidence functions
Estimate of cumulative incidence function in two samples. Provide weighted summary statistics based ...
Download / Learn more Package Citations See dependency  
SEIRfansy  
Extended Susceptible-Exposed-Infected-Recovery Model
Extended Susceptible-Exposed-Infected-Recovery Model for handling high false negative rate and symp ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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