Package: recoverlite 0.2.0

recoverlite: Pre-Data Recovery Tests for Planned Study Designs

A prototype implementation of the pre-data recovery test: a standardized simulation protocol for evaluating whether a planned design-analysis pair can recover its target estimand before data collection. Researchers declare the estimand, data-generating assumptions, data strategy, missing-data process, and analysis strategy; the package simulates a crossed scenario grid (null and target effects, each under declared and pessimistically perturbed nuisance assumptions), applies the planned analysis to each simulated dataset, and reports target-null rejection, power, target bias with its exact decomposition into estimator bias and estimand drift, coverage, Type S and Type M errors, precision, and classified model failure, each with Monte Carlo uncertainty and explicit inclusion rules. A versioned threshold profile converts the diagnosands into a PASS/RISK/FAIL verdict - a decision convention, not a validity classification. Built on the 'DeclareDesign' framework.

Authors:Heidi Helena Andersen [aut, cre]