Publication Ready Forest Plots for Estimand of Interest R package ggadjustedforest version 0.1.0 Creates publication-quality forest plots and effect-size tables that display only the unadjusted and adjusted estimates for a user-specified exposure variable of interest, hiding confounder coefficients in accordance with causal inference principles. Supports logistic, linear, Poisson, and Cox proportional hazards models, with optional cumulative-adjustment visualisation. Built on 'ggplot2' and follows the tidyverse design philosophy. Software Depends: R (>= 4.1.0) Imports: ggplot2 (>= 3.4.0), dplyr (>= 1.1.0), rlang (>= 1.1.0), broom (>= 1.0.0), survival (>= 3.5.0), patchwork (>= 1.2.0), scales (>= 1.3.0), tibble (>= 3.2.0) Suggests: sandwich, lmtest, testthat (>= 3.0.0), knitr, rmarkdown, finalfit Chris Varghese <chris.varghese@auckland.ac.nz> Comprehensive R Archive Network (CRAN) Chris Varghese [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=ggadjustedforest/LICENSE) 2026-07-17 application/tgz https://CRAN.R-project.org/package=ggadjustedforest doi:10.32614/CRAN.package.ggadjustedforest en-GB