Package: bclogit 1.1.1
Adam Kapelner
bclogit: Conditional Logistic Regression
Performs inference for Bayesian conditional logistic regression with informative priors built from the concordant pair data. We include many options to build the priors. And we include many options during the inference step for estimation, testing and confidence set creation. For details, see Kapelner and Tennenbaum (2026) "Improved Conditional Logistic Regression using Information in Concordant Pairs with Software" <doi:10.48550/arXiv.2602.08212>.
Authors:
bclogit_1.1.1.tar.gz
bclogit_1.1.1.zip(r-4.7-x86_64)bclogit_1.1.1.zip(r-4.7-arm64)bclogit_1.1.1.zip(r-4.6-x86_64)bclogit_1.1.1.zip(r-4.6-arm64)
bclogit_1.1.1.tar.gz(r-4.7-arm64)bclogit_1.1.1.tar.gz(r-4.7-x86_64)bclogit_1.1.1.tar.gz(r-4.6-arm64)bclogit_1.1.1.tar.gz(r-4.6-x86_64)
bclogit_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bclogit/json (API)
| # Install 'bclogit' in R: |
| install.packages('bclogit', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tennenbaumj/bclogit_package_and_paper_repo/issues
- fhs - Framingham Heart Study Dataset
bayesian-statisticsconditional-logistic-regressionmatched-case-control-studiesmatched-pairsconcordant-pairsinformative-priorsepidemiologybiostatisticsbinary-outcomesstanonetbbcpp
Last updated from:a570eb313c. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 331 | ||
| linux-devel-x86_64 | OK | 252 | ||
| source / vignettes | OK | 391 | ||
| linux-release-arm64 | OK | 338 | ||
| linux-release-x86_64 | OK | 351 | ||
| windows-devel-arm64 | OK | 415 | ||
| windows-devel-x86_64 | OK | 489 | ||
| windows-release-arm64 | OK | 457 | ||
| windows-release-x86_64 | OK | 445 | ||
| wasm-release | OK | 248 |
Dependencies:abindbackportsBHbroomcallrcheckmateclicodacpp11descdistributionaldplyrfarverfastLogisticRegressionWrapgeepackgenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppNumericalRcppParallelrlangrstanrstantoolsS7scalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Conditional Logistic Regression with Concordant Pairs | bclogit-package |
| Initialize a new bclogit model | bclogit bclogit.default bclogit.formula |
| Frequentist Conditional Logistic Regression | clogit clogit.default clogit.formula |
| Extract coefficients from a bclogit model | coef.bclogit |
| Extract coefficients from a clogit_bclogit model | coef.clogit_bclogit |
| Credible Intervals for bclogit Parameters | confint.bclogit |
| Framingham Heart Study Dataset | fhs |
| Extract model formula | formula.bclogit |
| Print summary of a bclogit model | print.summary.bclogit |
| Print summary of a clogit_bclogit model | print.summary.clogit_bclogit |
| Summarize a bclogit model | summary.bclogit |
| Summarize a clogit_bclogit model | summary.clogit_bclogit |
| Extract variance-covariance matrix from a bclogit model | vcov.bclogit |
| Extract variance-covariance matrix from a clogit_bclogit model | vcov.clogit_bclogit |