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discretecdAlgorithm  

Coordinate-Descent Algorithm for Learning Sparse Discrete Bayesian Networks
View on CRAN: Click here


Download and install discretecdAlgorithm package within the R console
Install from CRAN:
install.packages("discretecdAlgorithm")

Install from Github:
library("remotes")
install_github("cran/discretecdAlgorithm")

Install by package version:
library("remotes")
install_version("discretecdAlgorithm", "0.0.7")



Attach the package and use:
library("discretecdAlgorithm")
Maintained by
Jiaying Gu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-11
Latest Update:
Description:
Structure learning of Bayesian network using coordinate-descent algorithm. This algorithm is designed for discrete network assuming a multinomial data set, and we use a multi-logit model to do the regression. The algorithm is described in Gu, Fu and Zhou (2016) .
How to cite:
Jiaying Gu (2016). discretecdAlgorithm: Coordinate-Descent Algorithm for Learning Sparse Discrete Bayesian Networks. R package version 0.0.7, https://cran.r-project.org/web/packages/discretecdAlgorithm. Accessed 10 Mar. 2026.
Previous versions and publish date:
0.0.1 (2016-08-11 13:08), 0.0.2 (2016-11-23 09:38), 0.0.3 (2017-03-10 08:50), 0.0.4 (2017-04-28 09:30), 0.0.5 (2017-09-10 18:39), 0.0.6 (2019-12-23 17:45), 0.0.7 (2020-03-12 07:40)
Other packages that cited discretecdAlgorithm R package
View discretecdAlgorithm citation profile
Other R packages that discretecdAlgorithm depends, imports, suggests or enhances
Functions, R codes and Examples using the discretecdAlgorithm R package
Some associated functions: cd.run . coef_gen . data_gen . generate_discrete_data . max_lambda . 
Some associated R codes: CD-main.R . RcppExports.R . basic.R . data_gen.R . lambda.R .  Full discretecdAlgorithm package functions and examples
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