| C:/programs/etirm/src/BootstrapSample.h [code] | Defines function for creating a bootstrap sample |
| C:/programs/etirm/src/DiscreteLatentDist.h [code] | Class containing information about a discrete latent variable distribution for one or more groups of examinees |
| C:/programs/etirm/src/DiscreteNormalDist.h [code] | Function for computing a discrete approximation to a normal distribution |
| C:/programs/etirm/src/EStepDiscrete.h [code] | Class definitions of EStepDiscrete and NMatrixVec |
| C:/programs/etirm/src/etirmtypes.h [code] | Defines data types used by etirm |
| C:/programs/etirm/src/Examinee.h [code] | Class to store an item response pattern, the posterior LV distribution, and the marginal likelihood of the pattern |
| C:/programs/etirm/src/ExamineeGrpCov.h [code] | This class is a descendant of Examinee which also contains information about the group the examinee belongs to (a group covariate) |
| C:/programs/etirm/src/ExamineeThetaMLE.h [code] | Compute maximum likelihood estimate of latent variable (theta) for an examinee |
| C:/programs/etirm/src/ICCLogistic.cpp [code] | ICCLogistic class for computing item characteristic curve (ICC) of 1, 2, and 3-parameter logistic models, as well as first and second derivatives of ICC |
| C:/programs/etirm/src/ICCLogistic.h [code] | Class for computing item characteristic curve (ICC) of 1, 2, and 3-parameter logistic models, as well as first and second derivatives of ICC |
| C:/programs/etirm/src/ICRF_GPCM.cpp [code] | Class for computing item category response function (ICRF) and its derivative for the generalized partial credit model |
| C:/programs/etirm/src/ICRF_GPCM.h [code] | Class for computing item category response function (ICRF) and its derivative for the generalized partial credit model |
| C:/programs/etirm/src/ICRF_PCM.cpp [code] | Class for computing item category response function (ICRF) and its derivative for the partial credit model |
| C:/programs/etirm/src/ICRF_PCM.h [code] | Class for computing item category response function (ICRF) and its derivative for the partial credit model |
| C:/programs/etirm/src/Item.h [code] | Class containing information about an item |
| C:/programs/etirm/src/ItemDichotomous.h [code] | Class representing a dichotomously scored item derived from ItemNR |
| C:/programs/etirm/src/ItemNR.h [code] | ItemNR class, derived from Item, maintains information calculated for an Item object in the E-step so that it can be used in the M-step to estimate item parameters |
| C:/programs/etirm/src/ItemParamPrior.cpp [code] | Class representing a prior distribution used for item parameters in Bayes modal estimation |
| C:/programs/etirm/src/ItemParamPrior.h [code] | Class representing a prior distribution used for item parameters in Bayes modal estimation |
| C:/programs/etirm/src/ItemParamPriorBeta4.cpp [code] | Class representing a four-parameter beta prior distribution of item parameters in Bayes modal estimation |
| C:/programs/etirm/src/ItemParamPriorBeta4.h [code] | Class representing a four-parameter beta prior distribution of item parameters in Bayes modal estimation |
| C:/programs/etirm/src/ItemParamPriorLogNormal.cpp [code] | Class derived from ItemParamPrior representing a lognormal prior distribution of item parameters for use in Bayes modal estimation |
| C:/programs/etirm/src/ItemParamPriorLogNormal.h [code] | Class derived from ItemParamPrior representing a lognormal prior distribution of item parameters for use in Bayes modal estimation |
| C:/programs/etirm/src/ItemParamPriorNormal.cpp [code] | Class derived from ItemParamPrior representing a normal prior distribution of item parameters for use in Bayes modal estimation |
| C:/programs/etirm/src/ItemParamPriorNormal.h [code] | Class derived from ItemParamPrior representing a normal prior distribution of item parameters for use in Bayes modal estimation |
| C:/programs/etirm/src/ItemPolytomous.h [code] | Class representing a polytomously scored item derived from ItemNR |
| C:/programs/etirm/src/MStepIRT.cpp [code] | Functions useful in implementing the M-step for IRT models |
| C:/programs/etirm/src/MStepIRT.h [code] | Functions used in implementing the M-step for IRT models |
| C:/programs/etirm/src/SimulateResponses.h [code] | Simulate responses to items |
| C:/programs/etirm/src/Start3PL.h [code] | Compute item parameter estimate starting values for one, two, or three-parameter logistic model using nonlinear regression for each item based on an estimated ability for each examinee. Ability estimates are obtained using the PROX method |
| C:/programs/etirm/src/swig_etirm.cpp [code] | Definitions of functions and classes to generate scripting language wrapper functions for ETIRM using SWIG |
| C:/programs/etirm/src/swig_etirm.h [code] | Declarations of functions and classes to generate scripting language wrapper functions for ETIRM using SWIG |
| C:/programs/etirm/src/swig_etirm_types.h [code] | Definition of types that are referenced in swig_etirm.h |
| C:/programs/etirm/src/ThetaLogLikelihood.h [code] | Function object for computing loglikelihood for theta parameter of an IRT model |
