erplots: Model-Agnostic Exposure-Response Plots

Provides a fluent mini-language for building exposure-response plots (model curves/ribbons, quantile-binned summaries, data strips, and grouped distribution panels) from observed data and a fitted exposure-response model. Designed to be model-agnostic: any model object that implements the er_predict() generic (and, optionally, er_simulate() and er_summary()) can be visualised.

Version:	0.1.2
Depends:	R (≥ 4.1.0)
Imports:	dplyr (≥ 1.1.0), ggplot2 (≥ 4.0.0), patchwork (≥ 1.3.2), purrr, rlang, scales, stats, tibble, tidyselect, withr
Suggests:	erglm, hexbin, knitr, MASS, mvtnorm, rmarkdown, spelling, testthat (≥ 3.0.0)
Published:	2026-09-09
DOI:	10.32614/CRAN.package.erplots (may not be active yet)
Author:	Danielle Navarro [aut, cre]
Maintainer:	Danielle Navarro <djnavarro at protonmail.com>
BugReports:	https://github.com/djnavarro/erplots/issues
License:	MIT + file LICENSE
URL:	https://github.com/djnavarro/erplots, https://erplots.djnavarro.net/
NeedsCompilation:	no
Language:	en-GB
Materials:	README, NEWS
CRAN checks:	erplots results

Documentation:

Reference manual:	erplots.html , erplots.pdf
Vignettes:	Getting started with erplots (source, R code)

Downloads:

Package source:	erplots_0.1.2.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

Reverse dependencies:

Reverse suggests:

erglm

Linking:

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