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:Adam Kapelner [aut, cre], Jacob Tennenbaum [aut]

bclogit_1.1.1.tar.gz
bclogit_1.1.1.zip(r-4.7)bclogit_1.1.1.zip(r-4.6)bclogit_1.1.1.zip(r-4.5)
bclogit_1.1.1.tgz(r-4.6-x86_64)bclogit_1.1.1.tgz(r-4.6-arm64)bclogit_1.1.1.tgz(r-4.5-x86_64)bclogit_1.1.1.tgz(r-4.5-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)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
bclogit/json (API)

# Install 'bclogit' in R:

install.packages('bclogit', repos = c('https://tennenbaumj.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tennenbaum-j/bclogit_package_and_paper_repo/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

fhs - Framingham Heart Study Dataset

On CRAN:

cpp

3.90 score 1 stars 6 scripts 233 downloads 2 exports 89 dependencies

Last updated from:2f636935b7. Checks:12 OK, 1 FAIL. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	359
linux-devel-x86_64	OK	350
source / vignettes	OK	378
linux-release-arm64	OK	340
linux-release-x86_64	OK	382
macos-release-arm64	OK	265
macos-release-x86_64	OK	550
macos-oldrel-arm64	OK	301
macos-oldrel-x86_64	OK	586
windows-devel	OK	500
windows-release	OK	445
windows-oldrel	OK	442
wasm-release	FAIL	179

Exports:bclogit clogit

Dependencies:abind backports BH boot broom callr checkmate cli coda colorspace cowplot cpp11 Deriv desc distributional doBy dplyr farver fastLogisticRegressionWrap forecast fracdiff geepack generics ggplot2 glmmTMB glue gridExtra gtable inline isoband labeling lattice lifecycle lme4 lmtest loo magrittr MASS Matrix matrixStats mgcv microbenchmark minqa modelr nlme nloptr nnet numDeriv otel pbkrtest pillar pkgbuild pkgconfig posterior processx ps purrr QuickJSR R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RcppNumerical RcppParallel Rdpack reformulas rlang rstan rstantools S7 sandwich scales StanHeaders stringi stringr tensorA tibble tidyr tidyselect timeDate TMB urca utf8 vctrs viridisLite withr zoo

Citation

Development and contributors

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