Cognitive Diagnosis Modeling

Documentation for package ‘CDM’ version 8.2-6

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Cognitive Diagnosis Modeling

-- A --

abs_approx	Utility Functions in 'CDM'
abs_approx_D1	Utility Functions in 'CDM'
anova.din	Likelihood Ratio Test for Model Comparisons
anova.gdina	Likelihood Ratio Test for Model Comparisons
anova.gdm	Likelihood Ratio Test for Model Comparisons
anova.mcdina	Likelihood Ratio Test for Model Comparisons
anova.reglca	Likelihood Ratio Test for Model Comparisons
anova.slca	Likelihood Ratio Test for Model Comparisons

-- C --

cat_paste	Utility Functions in 'CDM'
cdi.kli	Cognitive Diagnostic Indices based on Kullback-Leibler Information
CDM	Cognitive Diagnosis Modeling
CDM-utilities	Utility Functions in 'CDM'
cdm.est.class.accuracy	Classification Reliability in a CDM
cdm_attach_internal_function	Utility Functions in 'CDM'
cdm_calc_information_criteria	Utility Functions in 'CDM'
cdm_fa1	Utility Functions in 'CDM'
cdm_fit_normal	Utility Functions in 'CDM'
cdm_matrix1	Utility Functions in 'CDM'
cdm_matrix2	Utility Functions in 'CDM'
cdm_matrixstring	Utility Functions in 'CDM'
cdm_parameter_regularization	Utility Functions in 'CDM'
cdm_pem_acceleration	Utility Functions in 'CDM'
cdm_pem_acceleration_assign_output_parameters	Utility Functions in 'CDM'
cdm_pem_inits	Utility Functions in 'CDM'
cdm_pem_inits_assign_parmlist	Utility Functions in 'CDM'
cdm_penalty_threshold_elnet	Utility Functions in 'CDM'
cdm_penalty_threshold_lasso	Utility Functions in 'CDM'
cdm_penalty_threshold_mcp	Utility Functions in 'CDM'
cdm_penalty_threshold_ridge	Utility Functions in 'CDM'
cdm_penalty_threshold_scad	Utility Functions in 'CDM'
cdm_penalty_threshold_scadL2	Utility Functions in 'CDM'
cdm_penalty_threshold_tlp	Utility Functions in 'CDM'
cdm_penalty_values	Utility Functions in 'CDM'
cdm_print_summary_call	Utility Functions in 'CDM'
cdm_print_summary_computation_time	Utility Functions in 'CDM'
cdm_print_summary_data_frame	Utility Functions in 'CDM'
cdm_print_summary_information_criteria	Utility Functions in 'CDM'
CDM_rbind_fill	Utility Functions in 'CDM'
CDM_require_namespace	Utility Functions in 'CDM'
CDM_rmvnorm	Utility Functions in 'CDM'
coef.din	Extract Estimated Item Parameters and Skill Class Distribution Parameters
coef.gdina	Extract Estimated Item Parameters and Skill Class Distribution Parameters
coef.gdm	Extract Estimated Item Parameters and Skill Class Distribution Parameters
coef.IRT.jackknife	Jackknifing an Item Response Model
coef.mcdina	Extract Estimated Item Parameters and Skill Class Distribution Parameters
coef.slca	Extract Estimated Item Parameters and Skill Class Distribution Parameters
confint.din	Asymptotic Covariance Matrix, Standard Errors and Confidence Intervals
csink	Opens and Closes a 'sink' Connection

-- D --

Data-sim	Artificial Data: DINA and DINO
data.cdm	Several Datasets for the 'CDM' Package
data.cdm01	Several Datasets for the 'CDM' Package
data.cdm02	Several Datasets for the 'CDM' Package
data.cdm03	Several Datasets for the 'CDM' Package
data.cdm04	Several Datasets for the 'CDM' Package
data.cdm05	Several Datasets for the 'CDM' Package
data.cdm06	Several Datasets for the 'CDM' Package
data.cdm07	Several Datasets for the 'CDM' Package
data.cdm08	Several Datasets for the 'CDM' Package
data.cdm09	Several Datasets for the 'CDM' Package
data.cdm10	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.fraction1	Fraction Subtraction Dataset with Different Subsets of Data and Different Q-Matrices
data.fraction2	Fraction Subtraction Dataset with Different Subsets of Data and Different Q-Matrices
data.fraction3	Fraction Subtraction Dataset with Different Subsets of Data and Different Q-Matrices
data.fraction4	Fraction Subtraction Dataset with Different Subsets of Data and Different Q-Matrices
data.fraction5	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.cc	PISA 2000 Reading Study (Chen & de la Torre, 2014)
data.pisa00R.ct	PISA 2000 Reading Study (Chen & de la Torre, 2014)
data.sda6	Dataset SDA6 (Jurich & Bradshaw, 2014)
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.timss07.G4.py	TIMSS 2007 Mathematics 4th Grade (Lee et al., 2011)
data.timss07.G4.Qdomains	TIMSS 2007 Mathematics 4th Grade (Lee et al., 2011)
data.timss11.G4.AUT	TIMSS 2011 Mathematics 4th Grade Austrian Students
data.timss11.G4.AUT.part	TIMSS 2011 Mathematics 4th Grade Austrian Students
data.timss11.G4.sa	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
discrim.index.din	Discrimination Indices at Item-Attribute, Item and Test Level
discrim.index.gdina	Discrimination Indices at Item-Attribute, Item and Test Level
discrim.index.mcdina	Discrimination Indices at Item-Attribute, Item and Test Level

-- E --

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

-- F --

fraction.subtraction.data	Fraction Subtraction Data
fraction.subtraction.qmatrix	Fraction Subtraction Q-Matrix

-- G --

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

-- I --

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.data.din	S3 Method for Extracting Used Item Response Dataset
IRT.data.gdina	S3 Method for Extracting Used Item Response Dataset
IRT.data.gdm	S3 Method for Extracting Used Item Response Dataset
IRT.data.mcdina	S3 Method for Extracting Used Item Response Dataset
IRT.data.reglca	S3 Method for Extracting Used Item Response Dataset
IRT.data.slca	S3 Method for Extracting Used Item Response Dataset
IRT.derivedParameters	Jackknifing an Item Response Model
IRT.expectedCounts	S3 Method for Extracting Expected Counts
IRT.expectedCounts.din	S3 Method for Extracting Expected Counts
IRT.expectedCounts.gdina	S3 Method for Extracting Expected Counts
IRT.expectedCounts.gdm	S3 Method for Extracting Expected Counts
IRT.expectedCounts.mcdina	S3 Method for Extracting Expected Counts
IRT.expectedCounts.reglca	S3 Method for Extracting Expected Counts
IRT.expectedCounts.slca	S3 Method for Extracting Expected Counts
IRT.factor.scores	S3 Methods for Extracting Factor Scores (Person Classifications)
IRT.factor.scores.din	S3 Methods for Extracting Factor Scores (Person Classifications)
IRT.factor.scores.gdina	S3 Methods for Extracting Factor Scores (Person Classifications)
IRT.factor.scores.gdm	S3 Methods for Extracting Factor Scores (Person Classifications)
IRT.factor.scores.mcdina	S3 Methods for Extracting Factor Scores (Person Classifications)
IRT.factor.scores.slca	S3 Methods for Extracting Factor Scores (Person Classifications)
IRT.frequencies	S3 Method for Computing Observed and Expected Frequencies of Univariate and Bivariate Marginals
IRT.frequencies.din	S3 Method for Computing Observed and Expected Frequencies of Univariate and Bivariate Marginals
IRT.frequencies.gdina	S3 Method for Computing Observed and Expected Frequencies of Univariate and Bivariate Marginals
IRT.frequencies.gdm	S3 Method for Computing Observed and Expected Frequencies of Univariate and Bivariate Marginals
IRT.frequencies.mcdina	S3 Method for Computing Observed and Expected Frequencies of Univariate and Bivariate Marginals
IRT.frequencies.slca	S3 Method for Computing Observed and Expected Frequencies of Univariate and Bivariate Marginals
IRT.IC	Information Criteria
IRT.irfprob	S3 Methods for Extracting Item Response Functions
IRT.irfprob.din	S3 Methods for Extracting Item Response Functions
IRT.irfprob.gdina	S3 Methods for Extracting Item Response Functions
IRT.irfprob.gdm	S3 Methods for Extracting Item Response Functions
IRT.irfprob.mcdina	S3 Methods for Extracting Item Response Functions
IRT.irfprob.reglca	S3 Methods for Extracting Item Response Functions
IRT.irfprob.slca	S3 Methods for Extracting Item Response Functions
IRT.irfprobPlot	Plot Item Response Functions
IRT.itemfit	S3 Methods for Computing Item Fit
IRT.itemfit.din	S3 Methods for Computing Item Fit
IRT.itemfit.gdina	S3 Methods for Computing Item Fit
IRT.itemfit.gdm	S3 Methods for Computing Item Fit
IRT.itemfit.reglca	S3 Methods for Computing Item Fit
IRT.itemfit.slca	S3 Methods for Computing Item Fit
IRT.jackknife	Jackknifing an Item Response Model
IRT.jackknife.gdina	Jackknifing an Item Response Model
IRT.likelihood	S3 Methods for Extracting of the Individual Likelihood and the Individual Posterior
IRT.likelihood.din	S3 Methods for Extracting of the Individual Likelihood and the Individual Posterior
IRT.likelihood.gdina	S3 Methods for Extracting of the Individual Likelihood and the Individual Posterior
IRT.likelihood.gdm	S3 Methods for Extracting of the Individual Likelihood and the Individual Posterior
IRT.likelihood.mcdina	S3 Methods for Extracting of the Individual Likelihood and the Individual Posterior
IRT.likelihood.reglca	S3 Methods for Extracting of the Individual Likelihood and the Individual Posterior
IRT.likelihood.slca	S3 Methods for Extracting of the Individual Likelihood and the Individual Posterior
IRT.marginal_posterior	S3 Method for Computation of Marginal Posterior Distribution
IRT.marginal_posterior.din	S3 Method for Computation of Marginal Posterior Distribution
IRT.marginal_posterior.gdina	S3 Method for Computation of Marginal Posterior Distribution
IRT.marginal_posterior.mcdina	S3 Method for Computation of Marginal Posterior Distribution
IRT.modelfit	S3 Methods for Assessing Model Fit
IRT.modelfit.din	S3 Methods for Assessing Model Fit
IRT.modelfit.gdina	S3 Methods for Assessing Model Fit
IRT.parameterTable	S3 Method for Extracting a Parameter Table
IRT.posterior	S3 Methods for Extracting of the Individual Likelihood and the Individual Posterior
IRT.posterior.din	S3 Methods for Extracting of the Individual Likelihood and the Individual Posterior
IRT.posterior.gdina	S3 Methods for Extracting of the Individual Likelihood and the Individual Posterior
IRT.posterior.gdm	S3 Methods for Extracting of the Individual Likelihood and the Individual Posterior
IRT.posterior.mcdina	S3 Methods for Extracting of the Individual Likelihood and the Individual Posterior
IRT.posterior.reglca	S3 Methods for Extracting of the Individual Likelihood and the Individual Posterior
IRT.posterior.slca	S3 Methods for Extracting of the Individual Likelihood and the Individual Posterior
IRT.predict	Expected Values and Predicted Probabilities from Item Response Response Models
IRT.repDesign	Generation of a Replicate Design for 'IRT.jackknife'
IRT.RMSD	Root Mean Square Deviation (RMSD) Item Fit Statistic
IRT.se	Asymptotic Covariance Matrix, Standard Errors and Confidence Intervals
IRT.se.din	Asymptotic Covariance Matrix, Standard Errors and Confidence Intervals
IRT_frequencies_default	S3 Method for Computing Observed and Expected Frequencies of Univariate and Bivariate Marginals
IRT_frequencies_wrapper	S3 Method for Computing Observed and Expected Frequencies of Univariate and Bivariate Marginals
IRT_RMSD_calc_rmsd	Root Mean Square Deviation (RMSD) Item Fit Statistic
itemfit.rmsea	RMSEA Item Fit
itemfit.sx2	S-X2 Item Fit Statistic for Dichotomous Data
item_by_group	Create Dataset with Group-Specific Items

-- L --

logLik.din	Extract Log-Likelihood
logLik.gdina	Extract Log-Likelihood
logLik.gdm	Extract Log-Likelihood
logLik.mcdina	Extract Log-Likelihood
logLik.reglca	Extract Log-Likelihood
logLik.slca	Extract Log-Likelihood

-- M --

mcdina	Multiple Choice DINA Model
modelfit.cor	Assessing Model Fit and Local Dependence by Comparing Observed and Expected Item Pair Correlations
modelfit.cor.din	Assessing Model Fit and Local Dependence by Comparing Observed and Expected Item Pair Correlations
modelfit.cor2	Assessing Model Fit and Local Dependence by Comparing Observed and Expected Item Pair Correlations

-- N --

numerical_gradient	Numerical Computation of the Hessian Matrix
numerical_Hessian	Numerical Computation of the Hessian Matrix
numerical_Hessian_partial	Numerical Computation of the Hessian Matrix

-- O --

osink

Opens and Closes a 'sink' Connection

-- P --

personfit.appropriateness	Appropriateness Statistic for Person Fit Assessment
plot.din	Plot Method for Objects of Class din
plot.gdina	Estimating the Generalized DINA (GDINA) Model
plot.gdm	General Diagnostic Model
plot.itemfit.sx2	S-X2 Item Fit Statistic for Dichotomous Data
plot.personfit.appropriateness	Appropriateness Statistic for Person Fit Assessment
plot.slca	Structured Latent Class Analysis (SLCA)
plot_item_mastery	S3 Methods for Plotting Item Probabilities
plot_item_mastery.din	S3 Methods for Plotting Item Probabilities
plot_item_mastery.gdina	S3 Methods for Plotting Item Probabilities
predict.din	Expected Values and Predicted Probabilities from Item Response Response Models
predict.gdina	Expected Values and Predicted Probabilities from Item Response Response Models
predict.gdm	Expected Values and Predicted Probabilities from Item Response Response Models
predict.mcdina	Expected Values and Predicted Probabilities from Item Response Response Models
predict.slca	Expected Values and Predicted Probabilities from Item Response Response Models
prep_data_long_format	Evaluation of Likelihood
print.din	Parameter Estimation for Mixed DINA/DINO Model
print.gdina	Estimating the Generalized DINA (GDINA) Model
print.gdm	General Diagnostic Model
print.mcdina	Multiple Choice DINA Model
print.slca	Structured Latent Class Analysis (SLCA)
print.summary.din	Print Method for Objects of Class summary.din

-- R --

reglca

Regularized Latent Class Analysis

-- S --

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.dina	Artificial Data: DINA and DINO
sim.dino	Artificial Data: DINA and DINO
sim.gdina	Simulation of the GDINA model
sim.gdina.prepare	Simulation of the GDINA model
sim.qmatrix	Artificial Data: DINA and DINO
sim_model	Simulate an Item Response Model
skill.cor	Tetrachoric or Polychoric Correlations between Attributes
skill.polychor	Tetrachoric or Polychoric Correlations between Attributes
skillspace.approximation	Skill Space Approximation
skillspace.full	Creation of a Hierarchical Skill Space
skillspace.hierarchy	Creation of a Hierarchical Skill Space
slca	Structured Latent Class Analysis (SLCA)
summary.cdi.kli	Cognitive Diagnostic Indices based on Kullback-Leibler Information
summary.din	Summary Method for Objects of Class din
summary.din_identifiability	Identifiability Conditions of the DINA Model
summary.discrim.index	Discrimination Indices at Item-Attribute, Item and Test Level
summary.entropy.lca	Test-specific and Item-specific Entropy for Latent Class Models
summary.gdina	Estimating the Generalized DINA (GDINA) Model
summary.gdina.dif	Differential Item Functioning in the GDINA Model
summary.gdina.wald	Wald Statistic for Item Fit of the DINA and ACDM Rule for GDINA Model
summary.gdm	General Diagnostic Model
summary.IRT.compareModels	Comparisons of Several Models
summary.IRT.modelfit.din	S3 Methods for Assessing Model Fit
summary.IRT.modelfit.gdina	S3 Methods for Assessing Model Fit
summary.IRT.RMSD	Root Mean Square Deviation (RMSD) Item Fit Statistic
summary.itemfit.sx2	S-X2 Item Fit Statistic for Dichotomous Data
summary.mcdina	Multiple Choice DINA Model
summary.modelfit.cor.din	Assessing Model Fit and Local Dependence by Comparing Observed and Expected Item Pair Correlations
summary.personfit.appropriateness	Appropriateness Statistic for Person Fit Assessment
summary.reglca	Regularized Latent Class Analysis
summary.slca	Structured Latent Class Analysis (SLCA)
summary_sink	Prints 'summary' and 'sink' Output in a File

-- V --

vcov.din	Asymptotic Covariance Matrix, Standard Errors and Confidence Intervals
vcov.IRT.jackknife	Jackknifing an Item Response Model

-- W --

WaldTest

Wald Test for a Linear Hypothesis