| anova.din | Likelihood Ratio Test for Model Comparisons |
| cdi.kli | Cognitive Diagnostic Indices based on Kullback-Leibler... |
| cdm.est.class.accuracy | Classification Reliability in a CDM |
| CDM-package | Cognitive Diagnosis Modeling |
| CDM-utilities | Utility Functions in 'CDM' |
| coef | Extract Estimated Item Parameters and Skill Class... |
| data.cdm | Several Datasets for the 'CDM' Package |
| data.dcm | Dataset from Book 'Diagnostic Measurement' of Rupp, Templin... |
| data.dtmr | DTMR Fraction Data (Bradshaw et al., 2014) |
| data.ecpe | Dataset ECPE |
| data.fraction | Fraction Subtraction Dataset with Different Subsets of Data... |
| 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 | PISA 2000 Reading Study (Chen & de la Torre, 2014) |
| data.sda6 | Dataset SDA6 (Jurich & Bradshaw, 2014) |
| Data-sim | Artificial Data: DINA and DINO |
| data.Students | Dataset Student Questionnaire |
| 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... |
| din | Parameter Estimation for Mixed DINA/DINO Model |
| din.deterministic | Deterministic Classification and Joint Maximum Likelihood... |
| din.equivalent.class | Calculation of Equivalent Skill Classes in the DINA/DINO... |
| din_identifiability | Identifiability Conditions of the DINA Model |
| din.validate.qmatrix | Q-Matrix Validation (Q-Matrix Modification) for Mixed... |
| discrim.index | Discrimination Indices at Item-Attribute, Item and Test Level |
| entropy.lca | Test-specific and Item-specific Entropy for Latent Class... |
| 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... |
| gdm | General Diagnostic Model |
| ideal.response.pattern | Ideal Response Pattern |
| 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... |
| IRT.frequencies | S3 Method for Computing Observed and Expected Frequencies of... |
| IRT.IC | Information Criteria |
| 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... |
| 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.repDesign | Generation of a Replicate Design for 'IRT.jackknife' |
| IRT.RMSD | Root Mean Square Deviation (RMSD) Item Fit Statistic |
| 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 | Extract Log-Likelihood |
| mcdina | Multiple Choice DINA Model |
| modelfit.cor | Assessing Model Fit and Local Dependence by Comparing... |
| 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 |
| predict | Expected Values and Predicted Probabilities from Item... |
| 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... |
| sim.din | Data Simulation Tool for DINA, DINO and mixed DINA and DINO... |
| 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 | Asymptotic Covariance Matrix, Standard Errors and Confidence... |
| WaldTest | Wald Test for a Linear Hypothesis |
