freqTLS: Frequentist Inference for Thermal Load Sensitivity Models

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.

Version:	0.1.0
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)
Published:	2026-07-21
DOI:	10.32614/CRAN.package.freqTLS (may not be active yet)
Author:	Shinichi Nakagawa [aut, cre, cph], Pieter A. Arnold [aut] (co-author of the bayesTLS framework), Patrice Pottier [aut] (co-author of the bayesTLS framework), Daniel W. A. Noble [aut] (senior author of the bayesTLS thermal-load-sensitivity framework)
Maintainer:	Shinichi Nakagawa <itchyshin at gmail.com>
BugReports:	https://github.com/itchyshin/freqTLS/issues
License:	GPL (≥ 3)
Copyright:	See file inst/COPYRIGHTS. freqTLS copyright details
URL:	https://github.com/itchyshin/freqTLS, https://itchyshin.github.io/freqTLS/
NeedsCompilation:	yes
Citation:	freqTLS citation info
Materials:	README, NEWS
CRAN checks:	freqTLS results

Documentation:

Reference manual:

freqTLS.html , freqTLS.pdf

Vignettes:

Case study: heat tolerance of three cereal aphid species (Li 2023) (source, R code) Case study: brown-shrimp lethal TDT (source, R code) Cross-case-study summary: three taxa, one panel (source, R code) Case study: Drosophila suzukii lethal thermal death time across sexes (source, R code) Case study: zebrafish thermal tolerance under hypoxia, normoxia, and hyperoxia (source, R code) Comparing freqTLS to bayesTLS (source, R code) Getting started with freqTLS (source, R code) Frequentist and Bayesian thermal-load sensitivity: strengths, weaknesses, and the blurry line (source, R code) Heat injury under a temperature trace (source, R code) The model and its parameterisation (source, R code) Profile-likelihood intervals (source, R code) Random effects: hierarchical thermal tolerance (source, R code)

Downloads:

Package source:	freqTLS_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): freqTLS_0.1.0.tgz, r-oldrel (arm64): freqTLS_0.1.0.tgz, r-release (x86_64): freqTLS_0.1.0.tgz, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=freqTLS to link to this page.