CDM-package             Cognitive Diagnosis Modeling
CDM-utilities           Utility Functions in 'CDM'
Data-sim                Artificial Data: DINA and DINO
IRT.IC                  Information Criteria
IRT.RMSD                Root Mean Square Deviation (RMSD) Item Fit
                        Statistic
IRT.anova               Helper Function for Conducting Likelihood Ratio
                        Tests
IRT.classify            Individual Classification for Fitted Models
IRT.compareModels       Comparisons of Several Models
IRT.data                S3 Method for Extracting Used Item Response
                        Dataset
IRT.expectedCounts      S3 Method for Extracting Expected Counts
IRT.factor.scores       S3 Methods for Extracting Factor Scores (Person
                        Classifications)
IRT.frequencies         S3 Method for Computing Observed and Expected
                        Frequencies of Univariate and Bivariate
                        Marginals
IRT.irfprob             S3 Methods for Extracting Item Response
                        Functions
IRT.irfprobPlot         Plot Item Response Functions
IRT.itemfit             S3 Methods for Computing Item Fit
IRT.jackknife           Jackknifing an Item Response Model
IRT.likelihood          S3 Methods for Extracting of the Individual
                        Likelihood and the Individual Posterior
IRT.marginal_posterior
                        S3 Method for Computation of Marginal Posterior
                        Distribution
IRT.modelfit            S3 Methods for Assessing Model Fit
IRT.parameterTable      S3 Method for Extracting a Parameter Table
IRT.predict             Expected Values and Predicted Probabilities
                        from Item Response Response Models
IRT.repDesign           Generation of a Replicate Design for
                        'IRT.jackknife'
WaldTest                Wald Test for a Linear Hypothesis
anova.din               Likelihood Ratio Test for Model Comparisons
cdi.kli                 Cognitive Diagnostic Indices based on
                        Kullback-Leibler Information
cdm.est.class.accuracy
                        Classification Reliability in a CDM
coef.din                Extract Estimated Item Parameters and Skill
                        Class Distribution Parameters
data.Students           Dataset Student Questionnaire
data.cdm                Several Datasets for the 'CDM' Package
data.dcm                Dataset from Book 'Diagnostic Measurement' of
                        Rupp, Templin and Henson (2010)
data.dtmr               DTMR Fraction Data (Bradshaw et al., 2014)
data.ecpe               Dataset ECPE
data.fraction           Fraction Subtraction Dataset with Different
                        Subsets of Data and Different Q-Matrices
data.hr                 Dataset 'data.hr' (Ravand et al., 2013)
data.jang               Dataset Jang (2009)
data.melab              MELAB Data (Li, 2011)
data.mg                 Large-Scale Dataset with Multiple Groups
data.pgdina             Dataset for Polytomous GDINA Model
data.pisa00R.ct         PISA 2000 Reading Study (Chen & de la Torre,
                        2014)
data.sda6               Dataset SDA6 (Jurich & Bradshaw, 2014)
data.timss03.G8.su      TIMSS 2003 Mathematics 8th Grade (Su et al.,
                        2013)
data.timss07.G4.lee     TIMSS 2007 Mathematics 4th Grade (Lee et al.,
                        2011)
data.timss11.G4.AUT     TIMSS 2011 Mathematics 4th Grade Austrian
                        Students
deltaMethod             Variance Matrix of a Nonlinear Estimator Using
                        the Delta Method
din                     Parameter Estimation for Mixed DINA/DINO Model
din.deterministic       Deterministic Classification and Joint Maximum
                        Likelihood Estimation of the Mixed DINA/DINO
                        Model
din.equivalent.class    Calculation of Equivalent Skill Classes in the
                        DINA/DINO Model
din.validate.qmatrix    Q-Matrix Validation (Q-Matrix Modification) for
                        Mixed DINA/DINO Model
din_identifiability     Identifiability Conditions of the DINA Model
discrim.index           Discrimination Indices at Item-Attribute, Item
                        and Test Level
entropy.lca             Test-specific and Item-specific Entropy for
                        Latent Class Models
equivalent.dina         Determination of a Statistically Equivalent
                        DINA Model
eval_likelihood         Evaluation of Likelihood
fraction.subtraction.data
                        Fraction Subtraction Data
fraction.subtraction.qmatrix
                        Fraction Subtraction Q-Matrix
gdd                     Generalized Distance Discriminating Method
gdina                   Estimating the Generalized DINA (GDINA) Model
gdina.dif               Differential Item Functioning in the GDINA
                        Model
gdina.wald              Wald Statistic for Item Fit of the DINA and
                        ACDM Rule for GDINA Model
gdm                     General Diagnostic Model
ideal.response.pattern
                        Ideal Response Pattern
item_by_group           Create Dataset with Group-Specific Items
itemfit.rmsea           RMSEA Item Fit
itemfit.sx2             S-X2 Item Fit Statistic for Dichotomous Data
logLik.din              Extract Log-Likelihood
mcdina                  Multiple Choice DINA Model
modelfit.cor            Assessing Model Fit and Local Dependence by
                        Comparing Observed and Expected Item Pair
                        Correlations
numerical_Hessian       Numerical Computation of the Hessian Matrix
osink                   Opens and Closes a 'sink' Connection
personfit.appropriateness
                        Appropriateness Statistic for Person Fit
                        Assessment
plot.din                Plot Method for Objects of Class din
plot_item_mastery       S3 Methods for Plotting Item Probabilities
print.summary.din       Print Method for Objects of Class summary.din
reglca                  Regularized Latent Class Analysis
sequential.items        Constructing a Dataset with Sequential Pseudo
                        Items for Ordered Item Responses
sim.din                 Data Simulation Tool for DINA, DINO and mixed
                        DINA and DINO Data
sim.gdina               Simulation of the GDINA model
sim_model               Simulate an Item Response Model
skill.cor               Tetrachoric or Polychoric Correlations between
                        Attributes
skillspace.approximation
                        Skill Space Approximation
skillspace.hierarchy    Creation of a Hierarchical Skill Space
slca                    Structured Latent Class Analysis (SLCA)
summary.din             Summary Method for Objects of Class din
summary_sink            Prints 'summary' and 'sink' Output in a File
vcov.din                Asymptotic Covariance Matrix, Standard Errors
                        and Confidence Intervals
