bayesGDS: Scalable Rejection Sampling for Bayesian Hierarchical Models
Version 0.6.2

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
URL coxprofs.cox.smu.edu/braunm
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("bayesGDS")

Getting started

Package overview

Popular man pages

bayesGDS-package: Braun and Damien Algorithm for Scalable Rejection Sampling
binary: Binary choice example
binary-data: Sample simulated data for binary choice model in vignette
Deprecated: Deprecated functions
get.cutoffs: Draw thresholds for the accept-reject stage of the BD...
get.LML: Log marginal likelihood of model
sample.GDS: Collect draws from the target posterior distribution
See all...

All man pages Function index File listing

Man pages

bayesGDS-package: Braun and Damien Algorithm for Scalable Rejection Sampling
binary: Binary choice example
binary-data: Sample simulated data for binary choice model in vignette
Deprecated: Deprecated functions
get.cutoffs: Draw thresholds for the accept-reject stage of the BD...
get.LML: Log marginal likelihood of model
sample.GDS: Collect draws from the target posterior distribution

Functions

Deprecated Man page
bayesGDS Man page
bayesGDS-package Man page
binary Man page
binary-data Man page
binary.f Man page Source code
binary.grad Man page Source code
binary.hess Man page Source code
binary_large Man page
binary_large-data Man page
binary_small Man page
binary_small-data Man page
d2.cross Source code
d2.db Source code
d2.dmu Source code
dlog.f.db Source code
dlog.f.dmu Source code
get.LML Man page Source code
get.cutoffs Man page Source code
inv.logit Man page Source code
inv.vech Man page Source code
log_inv.logit Man page Source code
logit Man page Source code
sample.GDS Man page Source code
vech Man page Source code

Files

inst
inst/CITATION
inst/doc
inst/doc/test2.pdf
inst/doc/bayesGDS.pdf
inst/doc/test2.pdf.asis
inst/doc/test1.pdf.asis
inst/doc/bayesGDS.pdf.asis
inst/doc/test1.pdf
inst/vignette_sources
inst/vignette_sources/bayesGDS.bib
inst/vignette_sources/binary
inst/vignette_sources/binary/binary.Rnw
inst/vignette_sources/binary/binary_chunks.R
inst/vignette_sources/test1
inst/vignette_sources/test1/test1.Rmd
inst/vignette_sources/test2
inst/vignette_sources/test2/test2.Rmd
tests
tests/testthat.R
tests/testthat
tests/testthat/test_binary.R
NAMESPACE
NEWS
NEWS.md
data
data/binary_small.rda
data/binary_large.rda
R
R/sample.R
R/cutoffs.R
R/binary.R
R/binary-data.R
R/LML.R
R/deprecated.R
R/bayesGDS-package.R
vignettes
vignettes/test2.pdf.asis
vignettes/test1.pdf.asis
vignettes/bayesGDS.pdf.asis
MD5
build
build/vignette.rds
DESCRIPTION
man
man/Deprecated.Rd
man/bayesGDS-package.Rd
man/binary-data.Rd
man/get.cutoffs.Rd
man/sample.GDS.Rd
man/get.LML.Rd
man/binary.Rd
bayesGDS documentation built on May 19, 2017, 10:05 p.m.

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

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.