Package: bayesTLS
Title: Joint Bayesian 4PL Models for Thermal Load Sensitivity
Version: 1.0.0
Authors@R: c(
    person("Daniel W. A.", "Noble",
           email = "daniel.noble@anu.edu.au",
           role  = c("aut", "cre")),
    person("Pieter A.", "Arnold", role = "aut"),
    person("Shinichi", "Nakagawa", role = "aut"),
    person("Patrice", "Pottier",
           email = "patrice.pottier@bioenv.gu.se",
           role  = "aut"))
Description: 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).
License: CC BY 4.0
Encoding: UTF-8
RoxygenNote: 7.3.3
URL: https://github.com/daniel1noble/bayesTLS
BugReports: https://github.com/daniel1noble/bayesTLS/issues
Imports: brms, dplyr, ggplot2, MASS, methods, patchwork, posterior,
        stats, tibble, utils
Suggests: cmdstanr, glmmTMB, here, pkgload, readxl, testthat (>=
        3.0.0), tidybayes, tidyr
Additional_repositories: https://stan-dev.r-universe.dev
Config/testthat/edition: 3
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-13 01:19:43 UTC; noble
Author: Daniel W. A. Noble [aut, cre],
  Pieter A. Arnold [aut],
  Shinichi Nakagawa [aut],
  Patrice Pottier [aut]
Maintainer: Daniel W. A. Noble <daniel.noble@anu.edu.au>
Repository: CRAN
Date/Publication: 2026-07-21 11:10:19 UTC
Built: R 4.6.1; ; 2026-07-21 12:23:16 UTC; unix
