OscatsModelNida

OscatsModelNida — Noisy Input Determistic And Gate (NIDA) Model

Synopsis

struct              OscatsModelNida;

Object Hierarchy

  GObject
   +----OscatsModel
         +----OscatsModelNida

Description

Details

struct OscatsModelNida

struct OscatsModelNida;

Noisy Inputs Deterministic And Gate (NIDA) Classification model: P(X=1|alpha) = prod_i (1-s_i)^(alpha_i) g_i^(1-prod_i alpha_i) where s_i and g_i are the slipping guessing parameters for each attribute.

Parameter names: Guess.DimName, Slip.DimName.

Note: This model does not support covariates, oscats_model_distance(), or oscats_model_logLik_dtheta().

References:

Brian Junker and Klaas Sijtsma (2001). "Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric Item Response Theory." Applied Psychological Measurement, 25, 258-272.

E. Maris (1999). "Estimating Multiple Classification Latent Class Models." Psychometrika, 64, 187-212.