Package index • GDINA

All functions

CA(): Calculate classification accuracy
CM(): Calculate Misclassification Matrices
ClassRate(): Classification Rate Evaluation
DTM(): Diagnostic multiple-strategy CDMs
GDINA-package: The Generalized DINA Model Framework
GDINA() anova(<GDINA>) coef(<GDINA>) extract(<GDINA>) personparm(<GDINA>) logLik(<GDINA>) deviance(<GDINA>) nobs(<GDINA>) vcov(<GDINA>) npar(<GDINA>) indlogLik(<GDINA>) indlogPost(<GDINA>) summary(<GDINA>): CDM calibration under the G-DINA model framework
GMSCDM(): Estimating multiple-strategy cognitive diagnosis models
ILCA(): Iterative latent-class analysis
LC2LG(): Transformation between latent classes and latent groups
MCmodel(): Multiple-choice models
Qval() extract(<Qval>) summary(<Qval>): Q-matrix validation
att.structure(): Generate hierarchical attribute structures
attributepattern(): Generate all possible attribute patterns
autoGDINA() summary(<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
cjoint(): Combine R Objects by Columns
designmatrix(): Generate design matrix
dif() summary(<dif>): Differential item functioning for cognitive diagnosis models
extract(): extract elements from objects of various classes
indlogLik(): Extract log-likelihood for each individual
indlogPost(): Extract log posterior for each individual
itemfit() extract(<itemfit>) summary(<itemfit>): Item fit statistics
itemfitPD(): Item fit statistics from the power-divergence family
itemparm(): extract item parameters (deprecated)
modelcomp() extract(<modelcomp>) summary(<modelcomp>): Item-level model comparison using Wald, LR or LM tests
modelfit(): Model fit statistics
monocheck(): This function checks if monotonicity is violated
npar(): Calculate the number of parameters
pairwiseDIF(): Pairwise post hoc DIF analysis
personparm(): calculate person (incidental) parameters
plot(<GDINA>): Create plots for GDINA estimates
plot(<Qval>): Mesa plot for Q-matrix validation
plot(<itemfit>): Item fit plots
plot(<pairwiseDIF>): Grouped bar plots for pairwise DIF posthoc analysis
realdata_ECPE: Examination for the Certificate of Proficiency in English (ECPE) data
realdata_Tatsuoka1990: Tatsuoka's fraction subtraction data
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() extract(<simGDINA>): Data simulation based on the G-DINA models
startGDINA(): Graphical user interface of the GDINA function
unique_only(): Unique values in a vector
unrestrQ(): Generate unrestricted Qc matrix from an restricted Qc matrix