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liboscats Reference Manual | ![]() |
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Top | Description | Object Hierarchy |
struct OscatsModelDina;
Deterministic Inputs Noisy And Gate (DINA) Classification model: P(X=1|alpha) = (1-s)^(prod_i alpha_i) g^(1-prod_i alpha_i) where s is the slipping parameter and g is the guessing parameter.
Parameter names: Guess, Slip.
Note: This model does not support covariates, oscats_model_distance()
, or
oscats_model_logLik_dtheta()
.
References:
2008). "DINA Model and Parameter Estimation: A Didactic." Journal of Educational and Behavioral Statistics, , 115-130.
(2001). "Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric Item Response Theory." Applied Psychological Measurement, , 258-272.
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