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ebdbNet  

Empirical Bayes Estimation of Dynamic Bayesian Networks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ebdbNet", "1.2.8")



Attach the package and use:
library("ebdbNet")
Maintained by
Andrea Rau
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-11-11
Latest Update: 2023-09-04
Description:
Infer the adjacency matrix of a network from time course data using an empirical Bayes estimation procedure based on Dynamic Bayesian Networks.
How to cite:
Andrea Rau (2009). ebdbNet: Empirical Bayes Estimation of Dynamic Bayesian Networks. R package version 1.2.8, https://cran.r-project.org/web/packages/ebdbNet. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2009-11-11 08:42), 1.1 (2010-01-21 08:13), 1.2.1 (2012-02-28 16:22), 1.2.2 (2012-05-31 12:21), 1.2.3 (2013-07-26 16:39), 1.2.5 (2016-11-21 16:03), 1.2.6 (2021-10-15 15:30), 1.2.7 (2023-03-28 10:00), 1.2 (2011-09-07 15:07)
Other packages that cited ebdbNet R package
View ebdbNet citation profile
Other R packages that ebdbNet depends, imports, suggests or enhances
Complete documentation for ebdbNet
Functions, R codes and Examples using the ebdbNet R package
Some associated functions: calcAUC . calcSensSpec . dataFormat . ebdbNet-package . ebdbn-internal . ebdbn . hankel . plot.ebdbNet . simulateVAR . 
Some associated R codes: calcAUC.R . calcSensSpec.R . dataFormat.R . ebdbn.R . fdbkFunc.R . hankel.R . plot.ebdbNet.R . simulateVAR.R . sumFunc.R .  Full ebdbNet package functions and examples
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