bayesGDS: Scalable Rejection Sampling for Bayesian Hierarchical Models

Functions for implementing the Braun and Damien (2015) rejection sampling algorithm for Bayesian hierarchical models. The algorithm generates posterior samples in parallel, and is scalable when the individual units are conditionally independent.

AuthorMichael Braun [aut, cre, cph]
Date of publication2016-03-16 18:37:03
MaintainerMichael Braun <braunm@smu.edu>
LicenseMPL (== 2.0)
Version0.6.2
coxprofs.cox.smu.edu/braunm

View on CRAN

Files in this package

bayesGDS
bayesGDS/inst
bayesGDS/inst/CITATION
bayesGDS/inst/doc
bayesGDS/inst/doc/test2.pdf
bayesGDS/inst/doc/bayesGDS.pdf
bayesGDS/inst/doc/test2.pdf.asis
bayesGDS/inst/doc/test1.pdf.asis
bayesGDS/inst/doc/bayesGDS.pdf.asis
bayesGDS/inst/doc/test1.pdf
bayesGDS/inst/vignette_sources
bayesGDS/inst/vignette_sources/bayesGDS.bib
bayesGDS/inst/vignette_sources/binary
bayesGDS/inst/vignette_sources/binary/binary.Rnw
bayesGDS/inst/vignette_sources/binary/binary_chunks.R
bayesGDS/inst/vignette_sources/test1
bayesGDS/inst/vignette_sources/test1/test1.Rmd
bayesGDS/inst/vignette_sources/test2
bayesGDS/inst/vignette_sources/test2/test2.Rmd
bayesGDS/tests
bayesGDS/tests/testthat.R
bayesGDS/tests/testthat
bayesGDS/tests/testthat/test_binary.R
bayesGDS/NAMESPACE
bayesGDS/NEWS
bayesGDS/NEWS.md
bayesGDS/data
bayesGDS/data/binary_small.rda
bayesGDS/data/binary_large.rda
bayesGDS/R
bayesGDS/R/sample.R bayesGDS/R/cutoffs.R bayesGDS/R/binary.R bayesGDS/R/binary-data.R bayesGDS/R/LML.R bayesGDS/R/deprecated.R bayesGDS/R/bayesGDS-package.R
bayesGDS/vignettes
bayesGDS/vignettes/test2.pdf.asis
bayesGDS/vignettes/test1.pdf.asis
bayesGDS/vignettes/bayesGDS.pdf.asis
bayesGDS/MD5
bayesGDS/build
bayesGDS/build/vignette.rds
bayesGDS/DESCRIPTION
bayesGDS/man
bayesGDS/man/Deprecated.Rd bayesGDS/man/bayesGDS-package.Rd bayesGDS/man/binary-data.Rd bayesGDS/man/get.cutoffs.Rd bayesGDS/man/sample.GDS.Rd bayesGDS/man/get.LML.Rd bayesGDS/man/binary.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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