Package: prLogistic Type: Package Title: Estimation of Prevalence Ratios via Logistic Regression Models Version: 2.0.2 Date: 2026-06-12 Authors@R: c( person("Raydonal", "Ospina", email = "raydonal@de.ufpe.br", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9884-9090")), person("Leila D.", "Amorim", email = "leiladen@ufba.br", role = "aut", comment = c(ORCID = "0000-0002-1112-2332")) ) Description: Estimates adjusted prevalence ratios (PR) and their confidence intervals from logistic regression models, addressing the well-known limitation of odds ratios (OR) as approximations to PR in cross-sectional studies with common outcomes. Supports independent observations (glm()), clustered/multilevel data (glmer() from 'lme4'), longitudinal data via Generalised Estimating Equations (geeglm() from 'geepack'), and complex survey designs (svyglm() from 'survey'). Inference is available via the delta method (conditional and marginal standardisation) and via bootstrap (normal-approximation and percentile intervals). Continuous covariates are handled through user-specified or median-based reference values; flexible baseline specification allows any reference category to be chosen for factor predictors. Based on the methodology described in Amorim & Ospina (2021) . License: GPL (>= 2) URL: https://github.com/Raydonal/prLogistic, https://raydonal.github.io/prLogistic/ BugReports: https://github.com/Raydonal/prLogistic/issues Encoding: UTF-8 LazyData: true LazyDataCompression: xz Roxygen: list(markdown = TRUE) Depends: R (>= 4.1.0) Imports: boot, lme4, stats, graphics Suggests: geepack, survey, MASS, testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, dplyr VignetteBuilder: knitr Config/testthat/edition: 3 Config/roxygen2/version: 8.0.0 Config/pak/sysreqs: cmake make Repository: https://raydonal.r-universe.dev Date/Publication: 2026-06-15 22:36:03 UTC RemoteUrl: https://github.com/raydonal/prlogistic RemoteRef: HEAD RemoteSha: 21fe1f02dfcee05419c7d1009693cea43ea6afbd NeedsCompilation: no Packaged: 2026-09-18 07:57:07 UTC; root Author: Raydonal Ospina [aut, cre] (ORCID: ), Leila D. Amorim [aut] (ORCID: ) Maintainer: Raydonal Ospina