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ggadjustedforest  

Publication Ready Forest Plots for Estimand of Interest
View on CRAN: Click here


Download and install ggadjustedforest package within the R console
Install from CRAN:
install.packages("ggadjustedforest")

Install from Github:
library("remotes")
install_github("cran/ggadjustedforest")

Install by package version:
library("remotes")
install_version("ggadjustedforest", "0.1.0")



Attach the package and use:
library("ggadjustedforest")
Maintained by
Chris Varghese
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-17
Latest Update: 2026-07-17
Description:
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.
How to cite:
Chris Varghese (2026). ggadjustedforest: Publication Ready Forest Plots for Estimand of Interest. R package version 0.1.0, https://cran.r-project.org/web/packages/ggadjustedforest. Accessed 24 Oct. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for ggadjustedforest
Functions, R codes and Examples using the ggadjustedforest R package
Full ggadjustedforest package functions and examples
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