CDM-package | Cognitive Diagnosis Modeling: The R Package '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 |
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 |
coef.gdina | Extract Estimated Item Parameters |
coef.gdm | Extract Estimated Item Parameters |
Data-sim | Artificial Data: DINA and DINO |
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.fraction1 | Fraction Subtraction Dataset 1 |
data.fraction2 | Fraction Subtraction Dataset 2 |
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.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) |
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 |
equivalent.dina | Determination of a Statistically Equivalent DINA Model |
fraction.subtraction.data | Fraction Subtraction Data |
fraction.subtraction.qmatrix | Fraction Subtraction Q-Matrix |
gdd | Generalized Distance Discriminating Method |
gdina | Function for Estimating the Generalized DINA (GDINA) Model |
gdm | General Diagnostic Model |
ideal.response.pattern | Ideal Response Pattern |
itemfit.rmsea | RMSEA Item Fit |
itemfit.sx2 | S-X2 Item Fit Statistic For Dichotomous Data |
logLik.din | Extract Log-Likelihood |
logLik.gdina | Extract Log-Likelihood |
logLik.gdm | Extract Log-Likelihood |
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 |
plot.din | Plot Method for Objects of Class din |
plot.gdina | Function for Estimating the Generalized DINA (GDINA) Model |
plot.itemfit.sx2 | S-X2 Item Fit Statistic For Dichotomous Data |
print.din | Print Method for Objects of Class din |
print.summary.din | Print Method for Objects of Class summary.din |
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 |
skill.cor | Tetrachoric Correlations between Attributes |
skillspace.approximation | Skill Space Approximation |
skillspace.hierarchy | Creation of a Hierarchical Skill Space |
summary.din | Summary Method for Objects of Class din |
summary.gdina | Function for Estimating the Generalized DINA (GDINA) Model |
summary.gdm | General Diagnostic Model |
summary.itemfit.sx2 | S-X2 Item Fit Statistic For Dichotomous Data |
summary.modelfit.cor.din | Assessing Model Fit and Local Dependence by Comparing Observed and Expected Item Pair Correlations |