Package: erglm 0.2.0

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'.

Authors:Danielle Navarro [aut, cre]

erglm_0.2.0.tar.gz
erglm_0.2.0.zip(r-4.7-any)erglm_0.2.0.zip(r-4.6-any)erglm_0.2.0.zip(r-4.5-any)
erglm_0.2.0.tgz(r-4.6-any)erglm_0.2.0.tgz(r-4.5-any)
erglm_0.2.0.tar.gz(r-4.7-any)erglm_0.2.0.tar.gz(r-4.6-any)
erglm_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
erglm/json (API)

# Install 'erglm' in R:
install.packages('erglm', repos = c('https://djnavarro.r-universe.dev', 'https://cloud.r-project.org'))

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

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

Datasets:
  • erglm_data - Sample simulated data for exposure-response models with covariates

On CRAN:

Conda:

4.28 score 42 scripts 265 downloads 10 exports 1 dependencies

Last updated from:4e827503e9. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK142
source / vignettesOK229
linux-releaseOK144
macos-releaseOK103
macos-oldrelOK79
windows-develOK125
windows-releaseOK67
windows-oldrelOK69
wasm-releaseOK107

Exports:erglm_add_termerglm_funerglm_invlinkerglm_linkerglm_modelerglm_predicterglm_remove_termerglm_scm_backwarderglm_scm_forwarderglm_scm_history

Dependencies:mvtnorm