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:
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