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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.
Getting started
Browse package contents
Package details |
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| Author | Danielle Navarro [aut, cre] (ORCID: <https://orcid.org/0000-0001-7648-6578>) |
| Maintainer | Danielle Navarro <djnavarro@protonmail.com> |
| License | MIT + file LICENSE |
| Version | 0.2.0 |
| URL | https://github.com/djnavarro/erplots https://erplots.djnavarro.net/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the erplots package in your browser
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