Other packages > Find by keyword >

baycn  

Bayesian Inference for Causal Networks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("baycn", "2.0.0")



Attach the package and use:
library("baycn")
Maintained by
Evan A Martin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-01
Latest Update: 2020-07-31
Description:
A Bayesian hybrid approach for inferring Directed Acyclic Graphs (DAGs) for continuous, discrete, and mixed data. The algorithm can use the graph inferred by another more efficient graph inference method as input; the input graph may contain false edges or undirected edges but can help reduce the search space to a more manageable size. A Bayesian Markov chain Monte Carlo algorithm is then used to infer the probability of direction and absence for the edges in the network. References: Martin and Fu (2019) .
How to cite:
Evan A Martin (2019). baycn: Bayesian Inference for Causal Networks. R package version 2.0.0, https://cran.r-project.org/web/packages/baycn. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:20), 1.0.0 (2019-10-01 17:30), 1.1.0 (2020-03-10 20:50), 1.2.0 (2020-07-31 20:40)
Other packages that cited baycn R package
View baycn citation profile
Other R packages that baycn depends, imports, suggests or enhances
Complete documentation for baycn
Functions, R codes and Examples using the baycn R package
Some associated functions: baycn-class . drosophila . geuvadis . mhEdge . mse . plot-baycn-method . prerec . show-baycn-method . simdata . summary-baycn-method . tracePlot . 
Some associated R codes: cPrior.R . caRatio.R . carPrior.R . classes.R . convertAM.R . coordinates.R . creation.R . cycles.R . data.R . detType.R . directedAM.R . divergent.R . likelihood.R . methods.R . mhEdge.R . mse.R . mutate.R . prerec.R . simdata.R . toAdjMatrix.R . tracePlot.R . whichIt.R .  Full baycn package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

bbdetection  
Identification of Bull and Bear States of the Market
Implements two algorithms of detecting Bull and Bear markets in stock prices: the algorithm of Pagan ...
Download / Learn more Package Citations See dependency  
schoolmath  
Functions and Datasets for Math Used in School
Contains functions and datasets for math taught in school. A main focus is set to prime-calculation. ...
Download / Learn more Package Citations See dependency  
wordnet  
WordNet Interface
An interface to WordNet using the Jawbone Java API to WordNet. WordNet (< ...
Download / Learn more Package Citations See dependency  
tarchetypes  
Archetypes for Targets
Function-oriented Make-like declarative pipelines for Statistics and data science are supported in t ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
stevedata  
Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
This is a collection of various kinds of data with broad uses for teaching. My students, and academ ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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