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bnpa
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]
[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 05 Jun. 2026.
Previous versions and publish date:
0.2.0 (2017-01-13 17:16)
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Other R packages that bnpa depends,
imports, suggests or enhances
Complete documentation for bnpa
Functions, R codes and Examples using
the bnpa R package
Some associated functions: boot.strap.bn . check.algorithms . check.dichotomic.one.var . check.levels.one.variable . check.na . check.ordered.one.var . check.ordered.to.pa . check.outliers . check.type.one.var . check.types . check.variables.to.be.ordered . convert.confusion.matrix . create.cluster . create.dummies . dataQualiN . dataQuantC . gera.bn.structure . gera.pa.model . gera.pa . mount.wl.bl.list . outcome.predictor.var . preprocess.outliers . transf.into.ordinal .
Some associated R codes: boot.strap.bn.R . check.algorithms.R . check.dichotomic.one.var.R . check.levels.one.variable.R . check.na.R . check.ordered.one.var.R . check.ordered.to.pa.R . check.outliers.R . check.type.one.var.R . check.types.R . check.variables.to.be.ordered.R . convert.confusion.matrix.R . create.cluster.R . create.dummies.R . data.R . gera.bn.structure.R . gera.pa.R . gera.pa.model.R . mount.wl.bl.list.R . outcome.predictor.var.R . preprocess.outliers.R . transf.into.ordinal.R . Full bnpa package functions and examples
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