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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | bayesTLS_1.0.0.tar.gz |
468.7 KiB |
1.0.0 |
rolling linux/noble R-4.5 | bayesTLS_1.0.0.tar.gz |
468.4 KiB |
1.0.0 |
rolling source/ R- | bayesTLS_1.0.0.tar.gz |
246.6 KiB |
1.0.0 |
latest linux/jammy R-4.5 | bayesTLS_1.0.0.tar.gz |
468.7 KiB |
1.0.0 |
latest linux/noble R-4.5 | bayesTLS_1.0.0.tar.gz |
468.4 KiB |
1.0.0 |
latest source/ R- | bayesTLS_1.0.0.tar.gz |
246.6 KiB |
1.0.0 |
2026-04-23 source/ R- | bayesTLS_1.0.0.tar.gz |
0 B |