Package: erplots 0.1.1

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.

Authors:Danielle Navarro [aut, cre]

erplots_0.1.1.tar.gz
erplots_0.1.1.zip(r-4.7-any)erplots_0.1.1.zip(r-4.6-any)erplots_0.1.1.zip(r-4.5-any)
erplots_0.1.1.tgz(r-4.6-any)erplots_0.1.1.tgz(r-4.5-any)
erplots_0.1.1.tar.gz(r-4.7-any)erplots_0.1.1.tar.gz(r-4.6-any)
erplots_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
erplots/json (API)

# Install 'erplots' in R:

install.packages('erplots', repos = c('https://djnavarro.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/djnavarro/erplots/issues

Pkgdown/docs site:https://erplots.djnavarro.net

Datasets:

erplots_data - Simulated exposure-response data

On CRAN:

3.54 score 14 scripts 49 exports 27 dependencies

Last updated from:13c3bb8fd4. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	159
source / vignettes	OK	248
linux-release	OK	196
macos-release	OK	137
macos-oldrel	OK	130
windows-devel	OK	138
windows-release	OK	133
windows-oldrel	OK	139
wasm-release	OK	124

Exports:ci_clopper_pearson ci_poisson ci_quantile ci_t cut_exposure_quantile cut_quantile er_plot er_plot_add_data er_plot_add_groups er_plot_add_model er_plot_add_quantiles er_plot_add_summary er_plot_build er_plot_theme er_predict er_simulate er_style_data_boxjitter er_style_data_hex er_style_data_overlay er_style_group_boxjitter er_style_group_boxplot er_style_group_histogram er_style_group_linerange er_style_group_violin er_style_group_violinjitter er_style_model_line er_style_model_ribbonline er_style_model_spaghetti er_style_quantile_errorbar er_style_quantile_errorbar_vlines er_style_quantile_pointrange er_style_quantile_pointrange_vlines er_style_summary_coefficients er_style_summary_gof er_style_summary_n er_style_summary_pvalue er_style_tag er_style_vpc_observed_mean_errorbar er_style_vpc_observed_quantile_errorbar er_style_vpc_observed_quantile_line er_style_vpc_simulated_mean_errorbar er_style_vpc_simulated_quantile_errorbar er_style_vpc_simulated_quantile_ribbon er_summary er_vpc er_vpc_add_observed er_vpc_add_simulated er_vpc_build er_vpc_theme

Dependencies:cli cpp11 dplyr farver generics ggplot2 glue gtable isoband labeling lifecycle magrittr patchwork pillar pkgconfig purrr R6 RColorBrewer rlang S7 scales tibble tidyselect utf8 vctrs viridisLite withr

Getting started with erplots

Rendered fromerplots.Rmdusingknitr::rmarkdown

Last update: 2026-08-09
Started: 2026-07-25

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Clopper-Pearson confidence interval for binary data	ci_clopper_pearson
Exact Poisson confidence interval for a count rate	ci_poisson
Distribution-free confidence interval for a sample quantile	ci_quantile
t-interval confidence interval for the mean of continuous data	ci_t
Cut a continuous variable into quantiles	cut_exposure_quantile cut_quantile
Model interface for exposure-response plots	er_model_interface er_predict er_simulate er_summary
The exposure-response plotting mini-language	er_plot
Add a raw-data layer	er_plot_add_data
Add a grouped exposure-distribution panel	er_plot_add_groups
Add a fitted-model curve/ribbon layer	er_plot_add_model
Add a quantile-binned response summary layer	er_plot_add_quantiles
Add a summary annotation layer	er_plot_add_summary
Build and render an 'er_plot' object	er_plot_build
Adjust theme/labels for an 'er_plot' object	er_plot_theme
Builder functions for exposure-response plots	er_style
Data layer builders for exposure-response plots	er_style_data er_style_data_boxjitter er_style_data_hex er_style_data_overlay
Group panel builders for exposure-response plots	er_style_group er_style_group_boxjitter er_style_group_boxplot er_style_group_histogram er_style_group_linerange er_style_group_violin er_style_group_violinjitter
Model curve builders for exposure-response plots	er_style_model er_style_model_line er_style_model_ribbonline er_style_model_spaghetti
Quantile summary builders for exposure-response plots	er_style_quantile er_style_quantile_errorbar er_style_quantile_errorbar_vlines er_style_quantile_pointrange er_style_quantile_pointrange_vlines
Summary annotation builders for exposure-response plots	er_style_summary er_style_summary_coefficients er_style_summary_gof er_style_summary_n er_style_summary_pvalue
Tag a builder with structural/aesthetic metadata	er_style_tag
Observed-layer builders for VPC plots	er_style_vpc_observed er_style_vpc_observed_mean_errorbar er_style_vpc_observed_quantile_errorbar er_style_vpc_observed_quantile_line
Simulated-layer builders for VPC plots	er_style_vpc_simulated er_style_vpc_simulated_mean_errorbar er_style_vpc_simulated_quantile_errorbar er_style_vpc_simulated_quantile_ribbon
The exposure-response VPC mini-language	er_vpc
Add the observed-data layer to an 'er_vpc' VPC	er_vpc_add_observed
Add the simulated-data layer to an 'er_vpc' VPC	er_vpc_add_simulated
Build and render an 'er_vpc' object	er_vpc_build
Adjust theme/labels for an 'er_vpc' object	er_vpc_theme
Simulated exposure-response data	erplots_data