occupancy-and-detection

What problem does it solve?

Fits single-season and dynamic occupancy models that account for imperfect detection in wildlife survey data. Use this skill when the user mentions occupancy estimation, detection probability, imperfect detection, detection histories, repeated visits, MacKenzie models, psi estimation, dynamic occupancy (colonization/extinction), goodness-of-fit testing (c-hat), site occupancy, or unmarked package analyses.

Core Features & Use Cases

• Design and analyze occupancy studies with repeated surveys and covariate specification for ψ and p.
• Produce occupancy (ψ) and detection (p) estimates, model selection results, covariate effects, and goodness-of-fit diagnostics.
• Guidance for reporting results and planning surveys under closure assumptions.

Quick Start

Provide a detection history matrix and site covariates to run a basic occupancy analysis and obtain ψ and p estimates.