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bnpa  

Bayesian Networks & Path Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bnpa", "0.3.0")



Attach the package and use:
library("bnpa")
Maintained by
Elias Carvalho
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-13
Latest Update: 2019-08-01
Description:
This project aims to enable the method of Path Analysis to infer causalities from data. For this we propose a hybrid approach, which uses Bayesian network structure learning algorithms from data to create the input file for creation of a PA model. The process is performed in a semi-automatic way by our intermediate algorithm, allowing novice researchers to create and evaluate their own PA models from a data set. The references used for this project are: Koller, D., & Friedman, N. (2009). Probabilistic graphical models: principles and techniques. MIT press. . Nagarajan, R., Scutari, M., & L
How to cite:
Elias Carvalho (2017). bnpa: Bayesian Networks & Path Analysis. R package version 0.3.0, https://cran.r-project.org/web/packages/bnpa. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.2.0 (2017-01-13 17:16)
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Complete documentation for bnpa
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