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Add simulation-based parameter-recovery tests for drmTMB models.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Review and improve drmTMB prose in README files, vignettes, pkgdown articles, after-task reports, release notes, design docs, and manuscript-style text for clarity, concrete claims, stable terminology, citations, and reader fit.
Audit a completed drmTMB task or phase before closing it, checking implementation, equations, examples, tests, docs, pkgdown, roadmap, NEWS, known limitations, stale wording, and after-task reporting.
Audit and improve drmTMB figures, figure galleries, pkgdown articles, simulation reports, and ggplot recipes when plots look poor, inconsistent, misleading, too sparse, missing raw or replicate data, or need Florence, Rose, Pat, Fisher, and Grace visual QA before being called done.
Audit a completed task or phase before closing it, checking implementation, equations or algorithms, examples, tests, docs, roadmap, release notes, stale wording, and after-task reporting.
Review statistical, machine-learning, simulation, or data-transformation implementations before merging.
Review an R package before a public, CRAN, GitHub, or internal release.
| name | add-simulation-test |
| description | Add simulation-based parameter-recovery tests for drmTMB models. |
Use this skill when testing model likelihoods, links, and fitting workflows.
drmTMB model.Keep CRAN tests small and deterministic. Use fixed seeds and moderate
tolerances. Put long simulation studies in data-raw/ or an optional workflow,
not in routine package checks.
sigma small and large.rho12 near 0, positive, and negative.