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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
rolling linux/jammy R-4.5 | erplots_0.1.2.tar.gz |
908.7 KiB |
0.1.2 |
rolling linux/noble R-4.5 | erplots_0.1.2.tar.gz |
908.8 KiB |
0.1.2 |
rolling source/ R- | erplots_0.1.2.tar.gz |
958.8 KiB |
0.1.2 |
latest linux/jammy R-4.5 | erplots_0.1.2.tar.gz |
908.7 KiB |
0.1.2 |
latest linux/noble R-4.5 | erplots_0.1.2.tar.gz |
908.8 KiB |
0.1.2 |
latest source/ R- | erplots_0.1.2.tar.gz |
958.8 KiB |
0.1.2 |
2026-04-23 source/ R- | erplots_0.1.2.tar.gz |
0 B |