R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
BiDAG
View on CRAN: Click
here
Download and install BiDAG package within the R console
Install from CRAN:
install.packages("BiDAG")
Install from Github:
library("remotes")
install_github("cran/BiDAG") Install by package version:
library("remotes")
install_version("BiDAG", "2.1.4") Attach the package and use:
library("BiDAG")
Maintained by
Polina Suter
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-19
Latest Update: 2023-05-16
Description:
Implementation of a collection of MCMC methods for Bayesian structure learning
of directed acyclic graphs (DAGs), both from continuous and discrete data. For efficient
inference on larger DAGs, the space of DAGs is pruned according to the data. To filter
the search space, the algorithm employs a hybrid approach, combining constraint-based
learning with search and score. A reduced search space is initially defined on the basis
of a skeleton obtained by means of the PC-algorithm, and then iteratively improved with
search and score. Search and score is then performed following two approaches:
Order MCMC, or Partition MCMC.
The BGe score is implemented for continuous data and the BDe score is implemented
for binary data or categorical data. The algorithms may provide the maximum a posteriori
(MAP) graph or a sample (a collection of DAGs) from the posterior distribution given the data.
All algorithms are also applicable for structure learning and sampling for dynamic Bayesian networks.
References:
J. Kuipers, P. Suter, G. Moffa (2022) ,
N. Friedman and D. Koller (2003) ,
J. Kuipers and G. Moffa (2017) ,
M. Kalisch et al. (2012) ,
D. Geiger and D. Heckerman (2002) ,
P. Suter, J. Kuipers, G. Moffa, N.Beerenwinkel (2023) .
How to cite:
Polina Suter (2017). BiDAG: Bayesian Inference for Directed Acyclic Graphs. R package version 2.1.4, https://cran.r-project.org/web/packages/BiDAG. Accessed 05 Aug. 2026.
Previous versions and publish date:
1.0.0 (2017-07-19 23:44), 1.0.1 (2017-07-26 17:35), 1.0.2 (2017-09-08 16:07), 1.1.1 (2018-03-16 11:48), 1.1.2 (2018-05-24 13:16), 1.2.0 (2019-08-19 10:00), 1.3.0 (2020-02-19 14:40), 1.3.4 (2020-04-12 11:50), 1.4.1 (2020-07-14 13:40), 2.0.0 (2021-02-15 16:20), 2.0.1 (2021-04-28 07:30), 2.0.2 (2021-04-30 06:10), 2.0.3 (2021-07-28 07:00), 2.0.4 (2021-11-30 09:00), 2.0.5 (2022-04-13 09:42), 2.0.6 (2022-05-09 09:30), 2.0.7 (2022-05-16 12:20), 2.0.9 (2022-06-20 12:20), 2.1.0 (2022-06-27 10:40), 2.1.1 (2022-08-05 13:50), 2.1.2 (2022-12-21 09:40), 2.1.3 (2023-01-23 16:00), (2026-07-09 07:58)
Other packages that cited BiDAG R package
View BiDAG citation profile
Other R packages that BiDAG depends,
imports, suggests or enhances
Complete documentation for BiDAG
Functions, R codes and Examples using
the BiDAG R package
Some associated functions: Asia . Asiamat . Boston . DAGscore . DBNdata . DBNmat . DBNscore . DBNunrolled . bidag2coda . bidag2codalist . compact2full . compareDAGs . compareDBNs . connectedSubGraph . edgep . full2compact . getDAG . getMCMCscore . getRuntime . getSpace . getSubGraph . getTrace . graph2m . gsim . gsim100 . gsimmat . interactions . iterativeMCMC . iterativeMCMCclass . itercomp . kirc . kirp . learnBN . m2graph . mapping . modelp . orderMCMC . orderMCMCclass . partitionMCMC . partitionMCMCclass . plot2in1 . plotDBN . plotdiffs . plotdiffsDBN . plotpcor . plotpedges . sampleBN . samplecomp . scoreagainstDAG . scoreagainstDBN . scoreparameters . scorespace . scorespaceclass . string2mat .
Some associated R codes: Asiaadj.R . DBNdata.R . DBNfns.R . DBNmat.R . DBNunrolled.R . KIRC.R . KIRP.R . RcppExports.R . WeightedCI.R . bidag2coda.R . corescore.R . dataSTRING.R . extractors.R . graphhelpfns.R . gsimadj.R . initpar.R . iterativeMCMC.R . learnBN.R . learningdata.R . main.R . newbinaryscoring.R . newcatscoring.R . orderMCMCbase.R . orderMCMCbasemax.R . orderMCMCmain.R . orderMCMCplus1.R . orderMCMCplus1max.R . orderposetfns.R . orderscore.R . orderscoremax.R . other.R . othercnstr.R . partitionMCMC.R . partitionMCMCmain.R . partitionfns.R . partitionmoves.R . partitionposetfns.R . partitionscore.R . performanceassess.R . plotS3.R . plotfns.R . plotusingrgraphviz.R . printmethods.R . sampleBN.R . samplefns.R . scoreagainstDBN.R . scoreagainstdag.R . scorefns.R . spacefns.R . summary.R . usrscorefns.R . wrappers.R . Full BiDAG package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
dcov
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Hang Weiqiang (view profile)
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
dhReg
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Pranay Gaikwad (view profile)
noisyr
Quantifies and removes technical noise from high-throughput
sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ilias Moutsopoulos (view profile)
kernelPSI
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Lotfi Slim (view profile)
28,083
R Packages
239,283
Dependencies
74,457
Author Associations
28,084
Publication Badges
