Package: freqTLS
Title: Frequentist Inference for Thermal Load Sensitivity Models
Version: 0.1.0
Authors@R: c(
    person("Shinichi", "Nakagawa", email = "itchyshin@gmail.com",
           role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0002-7765-5182")),
    person("Pieter A.", "Arnold", role = "aut",
           comment = c(ORCID = "0000-0002-6158-7752",
                       "co-author of the bayesTLS framework")),
    person("Patrice", "Pottier", role = "aut",
           comment = c(ORCID = "0000-0003-2106-6597",
                       "co-author of the bayesTLS framework")),
    person("Daniel W. A.", "Noble", role = "aut",
           comment = c(ORCID = "0000-0001-9460-8743",
                       "senior author of the bayesTLS thermal-load-sensitivity framework")))
Description: A maximum-likelihood implementation of the
        thermal-load-sensitivity framework for thermal death-time
        modelling introduced by Noble, Arnold and Pottier in the
        'bayesTLS' package, providing the frequentist counterpart to
        that Bayesian workflow. The modelling idea and the
        four-parameter logistic parameterisation are theirs; 'freqTLS'
        contributes a 'Template Model Builder' ('TMB') likelihood whose
        midpoint is written directly in terms of critical thermal
        maximum ('CTmax') and thermal sensitivity (z) so both headline
        quantities are estimable, and reports uncertainty through a
        unified trio of frequentist intervals -- Wald (delta),
        profile-likelihood, and bootstrap -- for binomial and
        beta-binomial survival counts and beta-distributed proportions.
        Column and formula interfaces support fixed and grouped designs
        plus limited independent random intercepts; prediction includes
        survival curves and deterministic heat-injury scenarios.
        Equivalence claims are restricted to the matched
        relative-threshold, constant-shape 'bayesTLS' configuration.
License: GPL (>= 3)
Copyright: See file inst/COPYRIGHTS.
URL: https://github.com/itchyshin/freqTLS,
        https://itchyshin.github.io/freqTLS/
BugReports: https://github.com/itchyshin/freqTLS/issues
Encoding: UTF-8
Depends: R (>= 4.2)
Imports: cli, ggplot2, MASS, parallel, rlang, stats, tibble, TMB, utils
LinkingTo: RcppEigen, TMB
Suggests: glmmTMB, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
LazyData: true
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-07-21 14:49:32 UTC; root
Author: Shinichi Nakagawa [aut, cre, cph] (ORCID:
        <https://orcid.org/0000-0002-7765-5182>), Pieter A. Arnold
        [aut] (ORCID: <https://orcid.org/0000-0002-6158-7752>,
        co-author of the bayesTLS framework), Patrice Pottier [aut]
        (ORCID: <https://orcid.org/0000-0003-2106-6597>, co-author of
        the bayesTLS framework), Daniel W. A. Noble [aut] (ORCID:
        <https://orcid.org/0000-0001-9460-8743>, senior author of the
        bayesTLS thermal-load-sensitivity framework)
Maintainer: Shinichi Nakagawa <itchyshin@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-21 11:00:10 UTC
RemoteUrl: https://github.com/cran/freqTLS
RemoteRef: HEAD
RemoteSha: 5b8e8dcaf3ef62719efb79696d4d05fd67c70b27