erglm: Exposure-Response Tools for GLM-Based Models
Provides estimation tools for exposure-response models based on
glm(): model fitting and prediction, stepwise covariate modelling,
and simulation-based visual predictive checks. Tested
and supported for binomial, Poisson, Gaussian, and gamma families.
For a model-agnostic mini-language to visualise exposure-response
models (including those fitted with 'erglm'), see the companion
package 'erplots'.
| Version: |
0.1.1 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
dplyr, mvtnorm, rlang, stats, tibble, withr |
| Suggests: |
erplots, ggplot2, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-08-08 |
| DOI: |
10.32614/CRAN.package.erglm |
| Author: |
Danielle Navarro 
[aut, cre] |
| Maintainer: |
Danielle Navarro <djnavarro at protonmail.com> |
| BugReports: |
https://github.com/djnavarro/erglm/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/djnavarro/erglm, https://erglm.djnavarro.net/ |
| NeedsCompilation: |
no |
| Additional_repositories: |
https://djnavarro.r-universe.dev |
| Language: |
en-GB |
| Materials: |
README, NEWS |
| CRAN checks: |
erglm results |
Documentation:
Downloads:
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