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eyeprocess 0.9 treats validation as an explicit research object
rather than an implicit property of an estimator.
process_validation_design() declares the measurement
regimes to study; run_process_validation() records
recovery, interval coverage, convergence, warnings, and failures; and
freeze_validation_reference() supports regression-style
evidence freezing.
d <- process_validation_design(n_persons=c(50,150), n_trials=c(10,30), missingness=c(0,.15), sampling_rate_hz=c(60,120), replications=100)
x <- run_process_validation(d)
validation_recovery_table(x)
validation_coverage_table(x)
validation_failure_profile(x)
plot(x, type="recovery")The built-in simulator is a software-validation fixture with known truth. It is not a substantive psychological theory. Recovery under a supplied data-generating process does not establish external validity.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.