Package: elrm 1.2.6

elrm: Exact Logistic Regression via MCMC

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. See Zamar et al. (2007) <doi:10.18637/jss.v021.i03> for more details.

Authors:David Zamar [aut, cre], Jinko Graham [aut], Brad McNeney [aut]

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elrm.pdf |elrm.html
elrm/json (API)

# Install 'elrm' in R:
install.packages('elrm', repos = c('https://kookoot15.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • crashDat - Crash Dataset: Calibration of Crash Dummies in Automobile Safety Tests
  • diabDat - Simulated Diabetes Dataset
  • drugDat - Drug Dataset
  • titanDat - Titanic Dataset
  • utiDat - Urinary Tract Infection and Contraceptive Use

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.76 score 1 packages 19 scripts 353 downloads 1 mentions 4 exports 2 dependencies

Last updated from:eedd5cbef0. Checks:12 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK124
linux-devel-x86_64OK129
source / vignettesOK177
linux-release-arm64OK117
linux-release-x86_64OK124
macos-devel-arm64OK150
macos-devel-x86_64OK315
macos-release-arm64OK262
macos-release-x86_64OK325
windows-develOK104
windows-releaseOK114
wasm-releaseOK110

Exports:elrmplot.elrmsummary.elrmupdate.elrm

Dependencies:codalattice

elrm

Rendered fromelrm.Rnwusingutils::Sweaveon Mar 24 2026.

Last update: 2019-06-28
Started: 2013-12-05