Root Mean Square Deviation (RMSD) Item Fit Statistic
Helper Function for Conducting Likelihood Ratio Tests
Individual Classification for Fitted Models
S3 Method for Extracting Used Item Response Dataset
S3 Method for Extracting Expected Counts
S3 Methods for Extracting Factor Scores (Person Classifications)
S3 Method for Computing Observed and Expected Frequencies of Univariate and Bivariate Marginals
S3 Methods for Extracting Item Response Functions
S3 Methods for Extracting of the Individual Likelihood and the Individual Posterior
S3 Method for Computation of Marginal Posterior Distribution
S3 Method for Extracting a Parameter Table
Generation of a Replicate Design for 'IRT.jackknife'
Likelihood Ratio Test for Model Comparisons
Cognitive Diagnostic Indices based on Kullback-Leibler Information
Extract Estimated Item Parameters and Skill Class Distribution Parameters
Dataset from Book 'Diagnostic Measurement' of Rupp, Templin and Henson (2010)
DTMR Fraction Data (Bradshaw et al., 2014)
Fraction Subtraction Dataset with Different Subsets of Data and Different Q-Matrices
Large-Scale Dataset with Multiple Groups
PISA 2000 Reading Study (Chen & de la Torre, 2014)
TIMSS 2003 Mathematics 8th Grade (Su et al., 2013)
TIMSS 2007 Mathematics 4th Grade (Lee et al., 2011)
TIMSS 2011 Mathematics 4th Grade Austrian Students
Variance Matrix of a Nonlinear Estimator Using the Delta Method
Parameter Estimation for Mixed DINA/DINO Model
Deterministic Classification and Joint Maximum Likelihood Estimation of the Mixed DINA/DINO Model
Calculation of Equivalent Skill Classes in the DINA/DINO Model
Q-Matrix Validation (Q-Matrix Modification) for Mixed DINA/DINO Model
Identifiability Conditions of the DINA Model
Discrimination Indices at Item-Attribute, Item and Test Level
Test-specific and Item-specific Entropy for Latent Class Models
Determination of a Statistically Equivalent DINA Model
Estimating the Generalized DINA (GDINA) Model
Differential Item Functioning in the GDINA Model
Wald Statistic for Item Fit of the DINA and ACDM Rule for GDINA Model
Create Dataset with Group-Specific Items
S-X2 Item Fit Statistic for Dichotomous Data
Assessing Model Fit and Local Dependence by Comparing Observed and Expected Item Pair Correlations
Numerical Computation of the Hessian Matrix
Appropriateness Statistic for Person Fit Assessment
S3 Methods for Plotting Item Probabilities
Expected Values and Predicted Probabilities from Item Response Response Models
Print Method for Objects of Class summary.din
Constructing a Dataset with Sequential Pseudo Items for Ordered Item Responses
Data Simulation Tool for DINA, DINO and mixed DINA and DINO Data
Tetrachoric or Polychoric Correlations between Attributes
Prints 'summary' and 'sink' Output in a File
Asymptotic Covariance Matrix, Standard Errors and Confidence Intervals