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ertte: Exposure-Response Tools for Time-to-Event Models
Provides estimation tools for exposure-response models of
time-to-event endpoints based on the 'survival' package: parametric
accelerated failure time model fitting and prediction with
AIC-based distribution selection, stepwise covariate modelling,
and simulation-based visual predictive checks. Tested and
supported for the exponential, Weibull, log-normal, and
log-logistic distributions. For a model-agnostic mini-language to
visualise exposure-response models (including those fitted with
'ertte'), see the companion package 'erplots'.
| Version: |
0.1.1 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
dplyr, mvtnorm, rlang, stats, survival, tibble, withr |
| Suggests: |
erplots, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-10-16 |
| DOI: |
10.32614/CRAN.package.ertte (may not be active yet) |
| Author: |
Danielle Navarro 
[aut, cre] |
| Maintainer: |
Danielle Navarro <djnavarro at protonmail.com> |
| BugReports: |
https://github.com/djnavarro/ertte/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/djnavarro/ertte, https://ertte.djnavarro.net/ |
| NeedsCompilation: |
no |
| Language: |
en-GB |
| Materials: |
README, NEWS |
| CRAN checks: |
ertte results |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=ertte
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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.
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