Other packages > Find by keyword >

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 22 Dec. 2024.
Previous versions and publish date:
0.2.0 (2017-01-13 17:16)
Other packages that cited bnpa R package
View bnpa citation profile
Other R packages that bnpa depends, imports, suggests or enhances
Complete documentation for bnpa
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA