NEWS.md
MCmodel function can handle multiple groupsMCmodel will randomly assign students into equivalent groupsdif function can detect differential category functioning for sequential modelstan2023,tan2023p25 and tan2023p50 datasetssimGDINA 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 modelcomp
modelfit 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 dataGMSCDM
att.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 itemfit
initial.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 GDINA
GDINA
ngroup using extract.GDINA functionitemfit function for missing datapersonparm