Recovery and Validation of Latent Response-Process States

In eyeprocess: Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data

knitr::opts_chunk$set(collapse = TRUE, comment = "#>")
library(eyeprocess)

Development recovery is deliberately bounded to five deterministic scenarios: clear K=2, weak K=2, true K=1, trait-conditioned K=2, and nuisance/confounded structure.

rec <- multimodal_m4_recovery()
rec

The default returns the recovery design without fitting. Real recovery requires an explicit run = TRUE. State labels are aligned before evaluating state effects and transition structure; posterior probability calibration is preferred to MAP accuracy alone.

rec_fit <- multimodal_m4_recovery(run = TRUE)
plot(rec_fit, type = "probability_calibration")

eyeprocess documentation built on Sept. 28, 2026, 5:08 p.m.