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", "1.2.0")



Attach the package and use:
library("baycn")
Maintained by
Evan A Martin
[Scholar Profile | Author Map]
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 1.2.0, https://cran.r-project.org/web/packages/baycn. Accessed 05 Apr. 2025.
Previous versions and publish date:
1.0.0 (2019-10-01 17:30), 1.1.0 (2020-03-10 20:50)
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
03/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/03Downloads for baycn051015202530354045505560TrendBars

Today's Hot Picks in Authors and Packages

IGST  
Informative Gene Selection Tool
Mining informative genes with certain biological meanings are important for clinical diagnosis of di ...
Download / Learn more Package Citations See dependency  
TrendInTrend  
Odds Ratio Estimation and Power Calculation for the Trend in Trend Model
Estimation of causal odds ratio and power calculation given trends in exposure prevalenceand outcome ...
Download / Learn more Package Citations See dependency  
deepdive  
Deep Learning for General Purpose
Aims to provide simple intuitive functions to create quick prototypes of artificial neural network o ...
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  
leapp  
Latent Effect Adjustment After Primary Projection
These functions take a gene expression value matrix, a primary covariate vector, an additional know ...
Download / Learn more Package Citations See dependency  
whitestrap  
White Test and Bootstrapped White Test for Heteroskedasticity
Formal implementation of White test of heteroskedasticity and a bootstrapped version of it, develope ...
Download / Learn more Package Citations See dependency  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

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