bayesTLS: Joint Bayesian 4PL Models for Thermal Load Sensitivity
Fits joint Bayesian four-parameter logistic (4PL) models to
thermal-tolerance proportion data, extracts the classical thermal load
sensitivity quantities (z, CTmax at 1 hour, T_crit) with full posterior
uncertainty, and predicts heat-injury accumulation and survival under
fluctuating temperature regimes with optional Sharpe-Schoolfield repair.
Models are fitted with 'Stan' via the 'brms' package. Implements the
framework described in Noble, Arnold, Nakagawa and Pottier (in
preparation).
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
brms, dplyr, ggplot2, MASS, methods, patchwork, posterior, stats, tibble, utils |
| Suggests: |
cmdstanr, glmmTMB, here, pkgload, readxl, testthat (≥
3.0.0), tidybayes, tidyr |
| Published: |
2026-07-21 |
| DOI: |
10.32614/CRAN.package.bayesTLS (may not be active yet) |
| Author: |
Daniel W. A. Noble [aut, cre],
Pieter A. Arnold [aut],
Shinichi Nakagawa [aut],
Patrice Pottier [aut] |
| Maintainer: |
Daniel W. A. Noble <daniel.noble at anu.edu.au> |
| BugReports: |
https://github.com/daniel1noble/bayesTLS/issues |
| License: |
CC BY 4.0 |
| URL: |
https://github.com/daniel1noble/bayesTLS |
| NeedsCompilation: |
no |
| Additional_repositories: |
https://stan-dev.r-universe.dev |
| Citation: |
bayesTLS citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
bayesTLS results |
Documentation:
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