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bclogit  

Conditional Logistic Regression
View on CRAN: Click here


Download and install bclogit package within the R console
Install from CRAN:
install.packages("bclogit")

Install from Github:
library("remotes")
install_github("cran/bclogit")

Install by package version:
library("remotes")
install_version("bclogit", "1.0")



Attach the package and use:
library("bclogit")
Maintained by
Adam Kapelner
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-25
Latest Update: 2026-02-25
Description:
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>.
How to cite:
Adam Kapelner (2026). bclogit: Conditional Logistic Regression. R package version 1.0, https://cran.r-project.org/web/packages/bclogit. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:21), 1.0 (2026-02-25 11:00)
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Complete documentation for bclogit
Functions, R codes and Examples using the bclogit R package
Full bclogit package functions and examples
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