Package: elrm 1.2.5
David Zamar
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:
elrm_1.2.5.tar.gz
elrm_1.2.5.tar.gz(r-4.5-noble)elrm_1.2.5.tar.gz(r-4.4-noble)
elrm_1.2.5.tgz(r-4.4-emscripten)elrm_1.2.5.tgz(r-4.3-emscripten)
elrm.pdf |elrm.html✨
elrm/json (API)
| # Install 'elrm' in R: |
| install.packages('elrm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:ebfea7e5f2. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 01 2024 |
| R-4.5-linux-x86_64 | OK | Sep 01 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Crash Dataset: Calibration of Crash Dummies in Automobile Safety Tests | crashDat |
| Simulated Diabetes Dataset | diabDat |
| Drug Dataset | drugDat |
| elrm: exact-like inference in logistic regression models | elrm |
| Plot Diagnostics for an elrm Object | plot.elrm |
| Summarize an elrm Object | summary.elrm |
| Titanic Dataset | titanDat |
| Update Method for Objects of Class elrm. | update.elrm |
| Urinary Tract Infection and Contraceptive Use | utiDat |