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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
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)
Other packages that cited BiDAG R package
View BiDAG citation profile
Other R packages that BiDAG depends,
imports, suggests or enhances
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
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