ETIRM Class List

Here are the classes, structs, unions and interfaces with brief descriptions:
etirm::DiscreteLatentDist< L >Class approximating the latent ability distribution by numeric quadrature
etirm::estepSWIG 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::ICC3PLFuncCommon 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_GPCMClass for the GPCM item response function
etirm::ICRF_PCMClass 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::ItemParamPriorClass representing a prior distribution used for item parameters in Bayes modal estimation
etirm::ItemParamPriorBeta4Class representing a four-parameter beta prior distribution of item parameters in Bayes modal estimation
etirm::ItemParamPriorLogNormalClass derived from ItemParamPrior representing a lognormal prior distribution of item parameters for use in Bayes modal estimation
etirm::ItemParamPriorNormalClass 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::ItemRespCountsClass 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::SwigEtirmRunClass holding information used for one modeling problem
etirm::ThetaLogLikelihood< II, RI, T >Function object for computing loglikelihood for theta parameter of an IRT model

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