The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

ggadjustedforest: Publication Ready Forest Plots for Estimand of Interest

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.

Version: 0.1.0
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
Published: 2026-07-17
DOI: 10.32614/CRAN.package.ggadjustedforest (may not be active yet)
Author: Chris Varghese [aut, cre]
Maintainer: Chris Varghese <chris.varghese at auckland.ac.nz>
BugReports: https://github.com/kriz98/gg_adjusted_forest/issues
License: MIT + file LICENSE
URL: https://github.com/kriz98/gg_adjusted_forest
NeedsCompilation: no
Language: en-GB
Materials: README
CRAN checks: ggadjustedforest results

Documentation:

Reference manual: ggadjustedforest.html , ggadjustedforest.pdf
Vignettes: Introduction to ggadjustedforest (source, R code)

Downloads:

Package source: ggadjustedforest_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ggadjustedforest to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.