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ggadjustedforest

0.1.0Package record

Publication Ready Forest Plots for Estimand of Interest

0packages depend
765downloads / year
82.5%test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK7 OK2026-07-18
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 246 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNo
Help pages
4
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

765
CRAN downloads in the past year
Rank #18,460 · ~2/day · ~64/mo
Daily download trend is not available in this view yet.
25730 days
69890 days
7651 year
Compare downloads with other packages →
Also on13 r2u6 autocran

Repository

Moved from kriz98/gg_adjusted_forest.

0Stars
0Forks
1Open issues
0Open PRs
0Releases
Last activity 2026-07-18 · Default branch at 0.1.1, ahead of CRAN 0.1.0 (checked 2026-10-11)
Responsiveness
not measured
PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/kriz98/gg_adjusted_forest on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-07-18 · The repository has a site deploy workflow

CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2026-05-31
    Named in .Rbuildignore: .claude
    Commits: at least 12 crediting it in the message
Models named in its commits
  • Claude Sonnet 4.612 commits · May to Jul 2026
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

Installing ggadjustedforest adds 32 packages (16 with compiled code, 32 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, patchwork 3.2 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.1.0 (2026)
Releases (1)
  • 0.1.0Latest
    2026-07-17 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-07-17
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Download size
200 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ggadjustedforest")
Varghese, C. (2026). ggadjustedforest: Publication Ready Forest Plots for Estimand of Interest (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ggadjustedforest

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ggadjustedforest version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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