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r.blip  

Bayesian Network Learning Improved Project
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/r.blip")

Install by package version:
library("remotes")
install_version("r.blip", "1.1")



Attach the package and use:
library("r.blip")
Maintained by
Mauro Scanagatta
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-02-27
Latest Update: 2019-02-27
Description:
Allows the user to learn Bayesian networks from datasets containing thousands of variables. It focuses on score-based learning, mainly the 'BIC' and the 'BDeu' score functions. It provides state-of-the-art algorithms for the following tasks: (1) parent set identification - Mauro Scanagatta (2015) ; (2) general structure optimization - Mauro Scanagatta (2018) , Mauro Scanagatta (2018) ; (3) bounded treewidth structure optimization - Mauro Scanagatta (2016) ; (4) structure learning on incomplete data sets - Mauro Scanagatta (2018) . Distributed under the LGPL-3 by IDSIA.
How to cite:
Mauro Scanagatta (2019). r.blip: Bayesian Network Learning Improved Project. R package version 1.1, https://cran.r-project.org/web/packages/r.blip. Accessed 06 Nov. 2024.
Previous versions and publish date:
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Other packages that cited r.blip R package
View r.blip citation profile
Other R packages that r.blip depends, imports, suggests or enhances
Complete documentation for r.blip
Functions, R codes and Examples using the r.blip R package
Some associated functions: blip.learn . blip.learn.tw . blip . blip.scorer . blip.solver . blip.solver.tw . child.jkl . child . read.jkl . read.str . write.jkl . 
Some associated R codes: io.R . main.R . utils.R .  Full r.blip package functions and examples
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