theory_strategy_spec: Define a theory-constrained strategy-mixture model

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

Define a theory-constrained strategy-mixture model

Description

Part of the research-scale validation, advanced-model, interoperability, storage, adapter, or reproducibility programme. Experimental model functions remain subject to declared evidence gates.

Usage

theory_strategy_spec(strategies = NULL, feature_columns = NULL, response = "score",
  participant = "participant_id", item = "item_id", condition = NULL,
  item_availability = NULL, engine = c("em", "stan"), multiple_starts = 10L,
  anchor_strength = 3, chains = 4L, parallel_chains = min(4L, chains),
  iter_warmup = 1000L, iter_sampling = 1000L, adapt_delta = 0.95, max_treedepth = 12L,
  prototypes = NULL, feature_sd = NULL, prior = NULL)

Arguments

strategies	Named list of strategy signatures. Each signature is a named
feature_columns	Process-feature columns.
response	Binary response column.
participant	Participant identifier.
item	Item identifier.
condition	Optional condition column.
item_availability	Optional item-by-strategy availability matrix or data frame.
engine	Estimation engine.
multiple_starts	Number of starts for the EM baseline.
anchor_strength	Prior/penalty strength anchoring classes to signatures.
chains	Stan controls.
parallel_chains	Stan controls.
iter_warmup	Stan controls.
iter_sampling	Stan controls.
adapt_delta	Stan controls.
max_treedepth	Stan controls.
prototypes	Value for 'prototypes'. See the function description and relevant article for constraints.
feature_sd	Value for 'feature_sd'. See the function description and relevant article for constraints.
prior	Value for 'prior'. See the function description and relevant article for constraints.

Value

The documented eyeprocess object, data frame, plot, report path, or adapter result.

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