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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 (may not be active yet) |
| 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:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=erglm
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.