etirm::DiscreteLatentDist< L > | Class approximating the latent ability distribution by numeric quadrature |

etirm::estep | SWIG wrapper for EStepDiscrete object |

etirm::EStepDiscrete< E, I, II, D > | Class template to perform E-step calculation and store results for IRT model with a discrete latent variable distribution |

etirm::Examinee< R, P > | Class to store a response pattern, its frequency, the posterior distribution of the ability parameter and the marginal likelihood of the pattern |

etirm::ExamineeGrpCov< R, P > | This class is a descendant of Examinee which also contains information about the group the examinee belongs to (a group covariate) |

etirm::ICC3PLFunc | Common functions and data members used for specializations of ICCLogistic |

etirm::ICCLogistic< NPAR > | Class declaration of logistic item response model; specializations supplied for NPAR = 1, 2, 3 |

etirm::ICCLogistic< 1 > | One-parameter logistic item response model |

etirm::ICCLogistic< 2 > | Two-parameter logistic item response model |

etirm::ICCLogistic< 3 > | Three-parameter logistic item response model |

etirm::ICRF_GPCM | Class for the GPCM item response function |

etirm::ICRF_PCM | Class for Masters' PCM item response function |

etirm::Item< L > | Class (template) containing information about an item |

etirm::ItemDichotomous< D, ICC > | Class representing a dichotomously scored item derived from ItemNR |

etirm::ItemNR< D > | Class, derived from Item, to maintain information calculated for an Item object in the E-step so that it can be used in the M-step to estimate item parameters |

etirm::ItemParamPrior | Class representing a prior distribution used for item parameters in Bayes modal estimation |

etirm::ItemParamPriorBeta4 | Class representing a four-parameter beta prior distribution of item parameters in Bayes modal estimation |

etirm::ItemParamPriorLogNormal | Class derived from ItemParamPrior representing a lognormal prior distribution of item parameters for use in Bayes modal estimation |

etirm::ItemParamPriorNormal | Class derived from ItemParamPrior representing a normal prior distribution of item parameters for use in Bayes modal estimation |

etirm::ItemPolytomous< LC, M > | Class representing a polytomously scored item derived from ItemNR class |

etirm::ItemRespCounts | Class to hold counts of number of examinees who responded in each response category of an item |

etirm::NMatrixVec< II > | Helper class template used by EStepDiscrete for managing a vector containing pointers to RealMatrix objects |

etirm::SwigEtirmRun | Class holding information used for one modeling problem |

etirm::ThetaLogLikelihood< II, RI, T > | Function object for computing loglikelihood for theta parameter of an IRT model |

Generated on Sat Mar 1 21:40:33 2008 for ETIRM by 1.5.4