| aphid_tdt | Cereal-aphid lethal-TDT data, three species across three ages |
| bayes_R2_tls | Bayesian R^2 for a fitted TDT workflow |
| clock_to_minutes | Convert various clock formats to minutes |
| derive_tdt_curve | Posterior LT_x curve: time to reach a survival target at each temperature |
| derive_tdt_landscape | Posterior survival landscape across the temperature × duration plane |
| derive_temperature_for_duration | Temperature at which survival equals a target after a fixed exposure |
| derive_z | Per-draw thermal sensitivity z directly from the joint posterior |
| diagnose_tdt_fit | Sampling diagnostics for a fitted TDT workflow |
| dsuzukii | Drosophila suzukii multi-trait thermal-tolerance data |
| extract_4pl_pars | Per-draw natural-scale 4PL parameters from a fitted workflow |
| fit_4pl | Fit the joint Bayesian 4PL to standardised TDT data |
| format_interval | Format a posterior median plus credible interval as a single string |
| get_4pl_est | Posterior estimates of the natural-scale 4PL parameters (draws or summary) |
| get_brmsfit | Extract the fitted brms model from a workflow |
| get_hi_draws | Posterior draws of heat-injury trajectory |
| get_surv_draws | Posterior draws of survival |
| get_tls_est | Extract TLS estimates (draws or summary) from a 'tls' object |
| has_fit | Whether a workflow has been fitted |
| make_4pl_formula | Build the brms formula for the joint Bayesian 4PL |
| make_4pl_priors | Default weakly informative priors for the joint Bayesian 4PL |
| make_temperature_scenarios | Build reference temperature traces for heat-injury validation |
| planted_dose_from_trace | Analytical heat-injury accumulation along a temperature trace |
| plot.bayes_tls | MCMC mixing plot for a fitted 'bayes_tls' workflow |
| plot_heat_injury | Plot HI and survival trajectories from 'predict_heat_injury()' |
| plot_repair_rate | Plot a Sharpe-Schoolfield repair TPC |
| plot_survival_curves | Plot posterior survival curves |
| plot_tdt_curve | Plot a posterior LT_x curve |
| plot_tdt_landscape | Plot the TDT survival landscape as a heatmap |
| plot_temperature_density | Plot a posterior temperature density (e.g. CTmax or T_crit) |
| plot_temperature_scenarios | Plot the three reference temperature scenarios |
| predict_heat_injury | Predict heat injury and survival under a fluctuating temperature trace |
| predict_survival_curves | Posterior survival curves on a temperature × duration grid |
| print.bayes_tls | Compact print method for a 'bayes_tls' workflow |
| repair_rate_schoolfield | Sharpe-Schoolfield thermal performance curve for repair rate |
| snowgum_psii | Snow gum leaf PSII functional-impairment thermal-tolerance data |
| standardize_data | Standardise a raw survival / proportion dataset for the TDT function library |
| summarise_observed_survival | Summarise observed survival counts to mean ± SE per (temp, duration) cell |
| summary.bayes_tls | Summarise a fitted 'bayes_tls' workflow |
| tdt_parameter_table | Posterior parameter table on the natural scale |
| tdt_quantile | Quantile wrapper with TDT-friendly defaults |
| theme_tdt | Project ggplot theme |
| tls | Thermal load sensitivity summaries from any fitted 4PL model |
| tls_ctmax | Thermal load sensitivity summaries from any fitted 4PL model |
| tls_tcrit | Thermal load sensitivity summaries from any fitted 4PL model |
| tls_z | Thermal load sensitivity summaries from any fitted 4PL model |
| ts_ci | Uncertainty for the classical two-stage TDT quantities |
| ts_curve | Median LT-vs-temperature line from a two-stage fit |
| ts_stage1 | Stage 1 of the classical two-stage TDT pipeline |
| ts_stage2 | Stage 2 of the classical two-stage TDT pipeline |
| zebrafish_o2 | Zebrafish lethal-TDT data across an oxygen gradient |