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]
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 1.2.0, https://cran.r-project.org/web/packages/baycn. Accessed 21 Nov. 2024.
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

kgschart  
KGS Rank Graph Parser
Restore underlining numeric data from rating history graph of KGS (an online platform of the game o ...
Download / Learn more Package Citations See dependency  
pkgdepends  
Package Dependency Resolution and Downloads
Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain ...
Download / Learn more Package Citations See dependency  
RcppHNSW  
'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors
'Hnswlib' is a C++ library for Approximate Nearest Neighbors. This package provides a minimal R int ...
Download / Learn more Package Citations See dependency  
SCBiclust  
Identifies Mean, Variance, and Hierarchically Clustered Biclusters
Identifies a bicluster, a submatrix of the data such that the features and observations within the s ...
Download / Learn more Package Citations See dependency  
deductive  
Data Correction and Imputation Using Deductive Methods
Attempt to repair inconsistencies and missing values in data records by using information from vali ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

23,229

R Packages

199,929

Dependencies

62,984

Author Associations

23,230

Publication Badges

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