elrm: Exact Logistic Regression via MCMC

elrm implements a Markov Chain Monte Carlo algorithm to approximate exact conditional inference for logistic regression models. Exact conditional inference is based on the distribution of the sufficient statistics for the parameters of interest given the sufficient statistics for the remaining nuisance parameters. Using model formula notation, users specify a logistic model and model terms of interest for exact inference.

AuthorDavid Zamar, Jinko Graham, Brad McNeney
Date of publication2013-12-07 00:52:08
MaintainerDavid Zamar <zamar.david@gmail.com>
LicenseGPL (>= 2)
Version1.2.2
http://stat-db.stat.sfu.ca:8080/statgen/research/elrm

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Files

elrm
elrm/inst
elrm/inst/CITATION
elrm/inst/doc
elrm/inst/doc/elrm.pdf
elrm/inst/doc/elrm.Rnw
elrm/src
elrm/src/List.h
elrm/src/functions.h
elrm/src/functions.cpp
elrm/src/binomMCMC.cpp
elrm/src/matrix.h
elrm/NAMESPACE
elrm/data
elrm/data/crashDat.txt.gz
elrm/data/utiDat.txt.gz
elrm/data/diabDat.txt.gz
elrm/data/drugDat.txt.gz
elrm/data/titanDat.txt.gz
elrm/R
elrm/R/getDistTable.R elrm/R/elrm.R elrm/R/getJointInf.R elrm/R/update.elrm.R elrm/R/getMarginalInf.R elrm/R/progress.R elrm/R/batchSize.R elrm/R/getConfInterval.R elrm/R/summary.elrm.R elrm/R/id.R elrm/R/adjustProb.R elrm/R/getDesignMatrix.R elrm/R/plot.elrm.R elrm/R/row.matches.R elrm/R/bm.R elrm/R/zzz.R
elrm/vignettes
elrm/vignettes/Figures
elrm/vignettes/Figures/dia.jpg
elrm/vignettes/elrm.bib
elrm/vignettes/elrm.Rnw
elrm/vignettes/jsslogo.jpg
elrm/MD5
elrm/build
elrm/build/vignette.rds
elrm/DESCRIPTION
elrm/ChangeLog
elrm/man
elrm/man/utiDat.Rd elrm/man/plot.elrm.Rd elrm/man/diabDat.Rd elrm/man/crashDat.Rd elrm/man/drugDat.Rd elrm/man/elrm.Rd elrm/man/summary.elrm.Rd elrm/man/update.elrm.Rd elrm/man/titanDat.Rd

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