Model-Agnostic Exposure-Response Plots R package erplots version 0.1.2 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. Software 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) Danielle Navarro <djnavarro@protonmail.com> Comprehensive R Archive Network (CRAN) Danielle Navarro [aut, cre] (ORCID: <https://orcid.org/0000-0001-7648-6578>) MIT + file LICENSE (https://CRAN.R-project.org/package=erplots/LICENSE) 2026-09-09 application/tgz https://CRAN.R-project.org/package=erplots doi:10.32614/CRAN.package.erplots en-GB