Package: qbaconfound Title: Monte Carlo Quantitative Bias Analysis for Unmeasured Confounding Version: 0.0.0.9000 Authors@R: c( person("Tom", "Palmer", , "remlapmot@hotmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4655-4511", ROR = "0524sp257")), person("Emily", "Kawabata", role = "aut", comment = c(ORCID = "0000-0003-4178-5513")), person("Rachael", "Hughes", role = "aut", comment = c(ORCID = "0000-0003-0766-1410")) ) Description: A flexible Monte Carlo quantitative bias analysis (QBA) for unmeasured confounding in observational studies, as described in Hughes et al. The substantive analysis may be a generalised linear model or a Cox proportional hazards model with a binary, continuous, or categorical exposure and measured confounders. The method allows for one or more binary or continuous unmeasured confounders that may be correlated with the measured confounders. Informative priors for a small number of bias parameters encode external information about the unmeasured confounders. License: MIT + file LICENSE URL: https://github.com/remlapmot/qbaconfound, https://mrcieu.r-universe.dev/qbaconfound BugReports: https://github.com/remlapmot/qbaconfound/issues Imports: stats, survival Suggests: testthat (>= 3.0.0) Config/roxygen2/markdown: TRUE Config/roxygen2/version: 8.0.0 Config/testthat/edition: 3 Encoding: UTF-8 Repository: https://mrcieu.r-universe.dev Date/Publication: 2026-05-26 09:58:40 UTC RemoteUrl: https://github.com/remlapmot/qbaconfound RemoteRef: HEAD RemoteSha: 3ae80e85354f1caf826a089bbd78474b1fcdf5af NeedsCompilation: no Packaged: 2026-05-26 14:59:27 UTC; root Author: Tom Palmer [aut, cre] (ORCID: , ROR: ), Emily Kawabata [aut] (ORCID: ), Rachael Hughes [aut] (ORCID: ) Maintainer: Tom Palmer