inst/doc/process-decision-proxies-and-frontier-gates.R

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

## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(collapse = TRUE, comment = "#>", eval = FALSE)
library(eyeprocess)

## -----------------------------------------------------------------------------
# pre <- preaction_process_features(samples)
# proxy <- addm_glam_proxy_features(
#   samples,
#   target_aoi = "target",
#   distractor_aoi = "distractor",
#   action_aoi = "button"
# )
# plot(pre)
# plot(proxy)

## -----------------------------------------------------------------------------
# process_feature_family_registry()
# assign_process_feature_family(c("pupil_peak", "aoi_entropy", "valid_gaze_prop"))
# process_feature_stability(repeated_importance_table)

## -----------------------------------------------------------------------------
# fit_kde_latent_distribution_irt(response_matrix)
# fit_persistence_gaze_diffusion_irt(process_data)
# fit_nonignorable_missing_irt(missingness_data)
# fit_crossclassified_process_irt_mhrm(crossclassified_data)

## -----------------------------------------------------------------------------
# repr <- prepare_structured_unstructured_process_features(
#   structured_features,
#   unstructured = sequence_data,
#   fold = "fold_id"
# )