GDINA-package |
The Generalized DINA Model Framework |
anova.GDINA |
CDM calibration under the G-DINA model framework |
att.structure |
Generate hierarchical attribute structures |
attributepattern |
Generate all possible attribute patterns |
autoGDINA |
Q-matrix validation, model selection and calibration in one run |
bdiagMatrix |
Create a block diagonal matrix |
bootSE |
Calculating standard errors and variance-covariance matrix using bootstrap methods |
CA |
Calculate classification accuracy |
cjoint |
Combine R Objects by Columns |
ClassRate |
Classification Rate Evaluation |
coef.GDINA |
CDM calibration under the G-DINA model framework |
designmatrix |
Generate design matrix |
deviance.GDINA |
CDM calibration under the G-DINA model framework |
dif |
Differential item functioning for cognitive diagnosis models |
DTM |
Experimental function for diagnostic multiple-strategy CDMs |
ecpe |
Examination for the Certificate of Proficiency in English (ECPE) data |
extract |
extract elements from objects of various classes |
extract.GDINA |
CDM calibration under the G-DINA model framework |
extract.itemfit |
Item fit statistics |
extract.modelcomp |
Item-level model comparison using Wald, LR or LM tests |
extract.Qval |
Q-matrix validation |
extract.simGDINA |
Data simulation based on the G-DINA models |
frac20 |
Tatsuoka's fraction subtraction data |
GDINA |
CDM calibration under the G-DINA model framework |
GMSCDM |
Estimating multiple-strategy cognitive diagnosis models |
ILCA |
Iterative latent-class analysis |
indlogLik |
Extract log-likelihood for each individual |
indlogLik.GDINA |
CDM calibration under the G-DINA model framework |
indlogPost |
Extract log posterior for each individual |
indlogPost.GDINA |
CDM calibration under the G-DINA model framework |
itemfit |
Item fit statistics |
itemparm |
extract item parameters (deprecated) |
itemparm.GDINA |
extract item parameters (deprecated) |
LC2LG |
Transformation between latent classes and latent groups |
logLik.GDINA |
CDM calibration under the G-DINA model framework |
MCmodel |
Multiple-choice models |
modelcomp |
Item-level model comparison using Wald, LR or LM tests |
modelfit |
Model fit statistics |
monocheck |
This function checks if monotonicity is violated |
nobs.GDINA |
CDM calibration under the G-DINA model framework |
npar |
Calculate the number of parameters |
npar.GDINA |
CDM calibration under the G-DINA model framework |
personparm |
calculate person (incidental) parameters |
personparm.GDINA |
CDM calibration under the G-DINA model framework |
plot.GDINA |
Create plots for GDINA estimates |
plot.itemfit |
Item fit plots |
plot.Qval |
Mesa plot for Q-matrix validation |
Qval |
Q-matrix validation |
rowMatch |
Count the frequency of a row vector in a data frame |
score |
Score function |
sim10GDINA |
Simulated data (10 items, G-DINA model) |
sim10MCDINA |
Simulated data (10 items, MC-DINA model) |
sim10MCDINA2 |
Simulated data (10 items, MC-DINA model) |
sim20seqGDINA |
Simulated data (20 items, sequential G-DINA model) |
sim21seqDINA |
Simulated data (21 items, sequential DINA model) |
sim30DINA |
Simulated data (30 items, DINA model) |
sim30GDINA |
Simulated data (30 items, G-DINA model) |
sim30pGDINA |
Simulated data (30 items, polytomous G-DINA model) |
simDTM |
Simulating data for diagnostic tree model |
simGDINA |
Data simulation based on the G-DINA models |
startGDINA |
Graphical user interface of the GDINA function |
summary.autoGDINA |
Q-matrix validation, model selection and calibration in one run |
summary.dif |
Differential item functioning for cognitive diagnosis models |
summary.GDINA |
CDM calibration under the G-DINA model framework |
summary.itemfit |
Item fit statistics |
summary.modelcomp |
Item-level model comparison using Wald, LR or LM tests |
summary.Qval |
Q-matrix validation |
unique_only |
Unique values in a vector |
unrestrQ |
Generate unrestricted Qc matrix from an restricted Qc matrix |
vcov.GDINA |
CDM calibration under the G-DINA model framework |