knitr::opts_chunk$set(collapse = TRUE, comment = "#>") library(eyeprocess)
Milestone #2 separates software-validation evidence from substantive construct validity. A reproducible plan fixes scenario families, sample sizes, missingness, perturbations, replications, and seeds before results are interpreted.
plan <- eyeprocess_validation_plan( sample_size = c(250L, 750L), n_items = c(12L, 24L), missing_rate = c(0, .15), specification = c("correct", "misspecified"), replications = 20L, seed = 20260811L ) head(expand_eyeprocess_validation_plan(plan))
Acceptance criteria are declared as reporting contracts rather than universal scientific thresholds.
rules <- list( rmse = validation_acceptance_rule("rmse", "max", .20), failure = validation_acceptance_rule("failure_rate", "max", .05) )
Frozen evidence objects contain integrity hashes and source-commit metadata. A passing release gate means only that the declared software-validation criteria were satisfied.
A minimal deterministic freeze demonstrates the provenance-aware graphical interface. The example records software evidence only and should not be interpreted as a validity assessment of a psychological construct.
viz_claim <- eyeprocess::eyeprocess_validation_claim_matrix( 'C1', 'software behaviour is reproducible', 'E1', 'test', 'supported' ) viz_freeze <- eyeprocess::freeze_eyeprocess_validation_evidence( design = data.frame(id = 1), recovery = data.frame(x = 1), stress = data.frame(x = 1), reliability = data.frame(x = 1), negative_controls = data.frame(x = 1), claims = viz_claim, provenance = list(commit = 'documentation-example'), source_commit = 'documentation-example' ) stopifnot( eyeprocess::verify_eyeprocess_validation_evidence( viz_freeze ) ) plot(viz_freeze)
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