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Design a compact parameter-recovery simulation plan for the freqTLS 4PL thermal-load-sensitivity model.
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Basé sur la classification professionnelle SOC
| name | simulation-test-plan |
| description | Design a compact parameter-recovery simulation plan for the freqTLS 4PL thermal-load-sensitivity model. |
Use this skill when planning the simulation evidence for a freqTLS slice (recovery, coverage, edge behaviour, or benchmark sanity). Curie leads; Fisher reviews the inferential targets.
CTmax, z, low, up, k,
phi; profile equivariance ci_z == exp(ci_log_z); |D(MLE)| ~ 0; or a
warning on a weakly identified design.simulate_tls() (locked
data-generating process, fixed seed, factorial temperature x duration grid).fit_tls() workflow and form intervals with
confint(method = "profile").CTmax, degrees-per-decade for z, probabilities for low/up).phi near the binomial limit).data-raw/.CTmax to about 0.4 deg C, z
to about 0.6, low/up to about 0.05, k to about 30% relative; wider for
beta-binomial.logLik(beta_binomial) > logLik(binomial) and AIC(beta_binomial) < AIC(binomial) on overdispersed data; near-binomial on clean data.CTmax ~ 1 deg C, z ~ 25%); no Stan in the test.Too few temperatures or durations; no mortality; all mortality; threshold never
crossed; asymptote not approached; CTmax extrapolated; non-closing profile
(warning + NA endpoint, no crash); grouped designs with shared shape.
Audit the freqTLS-versus-bayesTLS benchmark for a fair configuration, sound cache provenance, and the correct R-SHRIMP data rebuild.
Audit and improve freqTLS figures, galleries, pkgdown articles, and ggplot recipes, enforcing the Confidence-Eye uncertainty contract, before Florence, Rose, Pat, Fisher, and Grace call a figure done.
Review freqTLS before a public, CRAN, GitHub, or internal release.
Add simulation-based parameter-recovery tests for freqTLS models.
Audit a completed freqTLS task or phase before closing it, checking implementation, equations, examples, tests, docs, pkgdown, roadmap, NEWS, the capability matrix, known limitations, stale wording, and after-task reporting.
Review freqTLS profile-likelihood confidence intervals for correctness, equivariance, chi-square calibration, and honest open/boundary/multimodal handling.