Define a theory-constrained strategy-mixture model
theory_strategy_spec.RdPart 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.