Cognitive Diagnosis Modeling


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Documentation for package ‘CDM’ version 7.5-15

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A C D E F G I L M N O P R S V W

CDM-package 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