Qval for stepwise method was
fixeditemfitPD for PD family fit statisticsitemfitPD and
bootSE functionsMCmodel function can handle multiple
groupsMCmodel will randomly assign students into
equivalent groupsdif function can detect differential category
functioning for sequential modelssimGDINA to handle CDMs with attribute
structuresSE for MCmodel functionGDINA
function and simGDINA functionGDINA
functionGDINA function can accept factor or char
vector for group argumentdif
function nowQval for Q-matrix validation using an
iterative and dynamic procedureCA function for models with attribute
structuresGDINA function when one set of initial values
was used (Thanks to Hulya Yigit)modelfit function
when attribute structure exists (Thanks to Haiymiao Yuan)GMSCDM function (Thanks to Ouyang
Xueyuan)GDINA
functionsimGDINA functionMCmodel
functionextract
functionQval for sequential model using Wald test
(since version 2.5.2)GDINA functiondif,
itemfit and modelcompmodelfit was incorrect for
LLM and RRUMmodelfit can be calculated for
higher-order or independent models of joint attribute distributionICLA() function for attribute profile
estimationprint.GDINA()` prints valid number of
individuals by default nowQval not work when estimated number of
individuals in some latent classes are 0extract only gives valid dataGMSCDMatt.str argument of the GDINA
function has been updatedGDINA functiondif functionmodelcomp function to provide selected
models directlyplot functionecpe datadif function and
startGDINA functionlogLik function to be consistent with default
S3 methodsGDINA function has been largely rewritten for both
flexibility and speed. Users are now allowed to fit MS-DINA
model, Bugs models, and define models by providing design
matrix and link functions. For joint attribute distribution, in addition
to saturated and higher-order models, users are now allowed to fit
independent model and loglinear model. Code for joint attribute
distribution modelling has been restructured as well. Other major
updates include model fit evaluation using M2 statistics and other
limited information measures, item-level model selection using
likelihood ratio test and score test, classification accuracy evaluation
indices, bootstrap standard error estimation, etc.modelcomp in the version 1.4.1startGDINA to report
absolute fit statisticshigher-order modelsGDINA function arguments were modifiednpar,
AIC,BIC,logLik and
deviance functions are modifiedanova function is changed and multiple models
can be compariedprint function for the GDINA function is
changedsummary function is changedextract function are
not roundeddif function when DIF items are
specifiedGDINA and itemfitinitial.catprob in
extract functionLC2LG to find equivalent latent
groupsscore to find score functionssummary.GDINA function for multiple
group estimationGDINA functionatt.prior in extract
functionGDINA functionsimGDINA and
GDINAGDINAngroup using extract.GDINA
functionitemfit function for missing datapersonparm
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