sparsebn: Learning Sparse Bayesian Networks from High-Dimensional Data

Fast methods for learning sparse Bayesian networks from high-dimensional data using sparse regularization, as described in as described in Aragam, Gu, and Zhou (2017) <https://arxiv.org/abs/1703.04025>. Designed to handle mixed experimental and observational data with thousands of variables with either continuous or discrete observations.

AuthorBryon Aragam [aut, cre]
Date of publication2017-03-16 01:08:03
MaintainerBryon Aragam <sparsebn@gmail.com>
LicenseGPL (>= 2)
Version0.0.4
https://github.com/itsrainingdata/sparsebn

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sparsebn
sparsebn/inst
sparsebn/inst/CITATION
sparsebn/inst/doc
sparsebn/inst/doc/sparsebn-vignette.html
sparsebn/inst/doc/sparsebn-vignette.Rmd
sparsebn/inst/doc/sparsebn-vignette.R
sparsebn/tests
sparsebn/tests/testthat.R
sparsebn/tests/testthat
sparsebn/tests/testthat/Rplots.pdf
sparsebn/tests/testthat/helper-sparsebnUtils-generate_objects.R
sparsebn/tests/testthat/test-dag.R
sparsebn/tests/testthat/test-covariance.R
sparsebn/tests/testthat/test-plotDAG.R
sparsebn/tests/testthat/test-precision.R
sparsebn/NAMESPACE
sparsebn/NEWS.md
sparsebn/data
sparsebn/data/pathfinder.rda
sparsebn/data/cytometryContinuous.rda
sparsebn/data/cytometryDiscrete.rda
sparsebn/R
sparsebn/R/sparsebn.R sparsebn/R/sparsebn-plotting.R sparsebn/R/data.R sparsebn/R/sparsebn-main.R sparsebn/R/zzz.R
sparsebn/vignettes
sparsebn/vignettes/sparsebn-vignette.Rmd
sparsebn/README.md
sparsebn/MD5
sparsebn/build
sparsebn/build/vignette.rds
sparsebn/DESCRIPTION
sparsebn/man
sparsebn/man/sparsebn.Rd sparsebn/man/cytometryDiscrete.Rd sparsebn/man/pathfinder.Rd sparsebn/man/cytometryContinuous.Rd sparsebn/man/plotDAG.Rd sparsebn/man/estimate.dag.Rd sparsebn/man/estimate.covariance.Rd

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