GDINA 2.8.8

• Change - update the package to remove the dependence on nloptr package

GDINA 2.8.7

• Change - data set: sim10MCDINA
• Change - GDINA function can accept factor or char vector for group argument
• Change - forward search algorithm implemented in dif function now
• Change - Qval for Q-matrix validation using an iterative and dynamic procedure
• Added - data set: sim10MCDINA2
• Fixed - CA function for models with attribute structures
• Fixed - GDINA function when one set of initial values was used (Thanks to Hulya Yigit)
• Fixed - Mord statistic calculation in modelfit function when attribute structure exists (Thanks to Haiymiao Yuan)

GDINA 2.8.0

• Changed - add reference to the JSS article
• Changed - clean references

GDINA 2.7.9

• Changed - data set format so the package can be used for R versions prior to 3.5

GDINA 2.7.8

• Added - mesa plot for validating Q-matrix based on sequential G-DINA model
• Fixed - A bug in GMSCDM function (Thanks to Ouyang Xueyuan)
• Changed - examples and documentations of GDINA function
• Changed - argument of simGDINA function

GDINA 2.7.3

• Added - Q-validation and model comparison when joint attribute model is not saturated
• Fixed - absolute fit statistics disappear in GUI (since version 2.7.0)
• Fixed - error in calculating CAIC for GDINA estimation (since version 2.7.0)

GDINA 2.7.0

• Added - MC-DINA model can be estimated using MCmodel function
• Added - more components can be extracted using extract function
• Fixed - Qval for sequential model using Wald test (since version 2.5.2)
• Added - print CAIC and SABIC indices for GDINA estimations
• Changed - bootstrap SEs can be calculated for models with structured attributes
• Added - convergence is checked for GDINA function
• Changed - Bonferroni method is replaced by Holm–Bonferroni method as default settings for multiple comparisons in dif, itemfit and modelcomp

GDINA 2.6.0

• Fixed - a mistake in BIC calculation (since version 2.5.2)
  
• Fixed - M2 calculation in modelfit was incorrect for LLM and RRUM
• Changed - M2 in modelfit can be calculated for higher-order or independent models of joint attribute distribution

GDINA 2.5.2

• Added - ICLA() function for attribute profile estimation
• Changed - data are aggregated before model estimation for single group CDMs
• Deleted - exported internal functions are removed
• Fixed - print.GDINA()` prints valid number of individuals by default now
• Fixed - covariance matrix cannot be calculated when some individuals are deleted
• Fixed - Qval not work when estimated number of individuals in some latent classes are 0
• Fixed - extract only gives valid data

GDINA 2.4.0

• Added - Predicted cutoff based on the data for Q-matrix validation
  
• Changed - add .5 for elements 0 when calculating log odds statistic for item fit
• Fixed - model fit cannot be printed in GUI when M2 cannot be calculated

GDINA 2.3.2

• Added - Attribute Hierarchical structure for A-CDM, LLM and RRUM
• Added - Estimating generalized multiple strategy CDMs using GMSCDM
• Changed - att.str argument of the GDINA function has been updated
• Changed - several examples in GDINA function
• Fixed - The number of parameters is not correct when attribute strcture exists

GDINA 2.2.0

• Changed - set anchor attributes for multiple group higher-order CDMs
• Changed - change arguments for dif function
• Changed - print estimated mixing proportions in R GUI
• Changed - GUI has been largely improved
• Changed - update modelcomp function to provide selected models directly
• Fixed - calculation of the number of parameters when parameters of some items are fixed
• Fixed - mesa plot with best q-vectors when some q-vectors have the same PVAF
• Fixed - bug when calculating standard error using complete information based on multiple group models

GDINA 2.1.15

• Changed - arguments for plot function
• Added - additional example for ecpe data
• Changed - graphical interface

GDINA 2.1.7

• Added - experimental functions for simulating and estimating diagnostic tree model (to be optimized)
• Fixed - bugs in dif function and startGDINA function
• Changed - logLik function to be consistent with default S3 methods
• Added - Q-matrix validation using stepwise Wald test

GDINA 2.0.7

• bug fixed

GDINA 2.0

• This is a major update including a large number of new features. The GDINA 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.
• Note that due to the major updates, some results from this version may be slightly different from those using the previous versions.

GDINA 1.4.2

• Fixed - a bug in modelcomp in the version 1.4.1
• Changed - adjusted p values are provided for DIF detection

GDINA 1.4.1

• Changed - update GUI interface startGDINA to report absolute fit statistics
• Changed - estimation methods for higher-order models were adjusted
• Changed - priors can be imposed to structural paprameters in higher-order models
• Changed - missing values were identified when calculating likelihood
• Changed - GDINA function arguments were modified
• Changed - outputs for npar, AIC,BIC,logLik and deviance functions are modified
• Changed - anova function is changed and multiple models can be comparied
• Changed - print function for the GDINA function is changed
• Changed - summary function is changed
• Changed - objects returned from extract function are not rounded
• Fixed - bug when extracting covariance matrix and discrimination index (thanks to Kevin Carl Santos)
• Fixed - bug in dif function when DIF items are specified
• Fixed - bug for calculating standard errors for sequential models
• Fixed - bug - recover the random seeds after running GDINA and itemfit
• Added - standard errors using complete information matrix
• Added - output for initial.catprob in extract function
• Added - function LC2LG to find equivalent latent groups
• Added - function score to find score functions
• Added - Standard error estimation based on complete information is available

GDINA 1.2.1

• Fixed - bugs in model estimation with user specified structures
• Fixed - bugs in summary.GDINA function for multiple group estimation
• Changed - include the pseudo q-vector 0 for the mesa plot
• Changed - prior distribution is not re-calculated after likelihood calculation in GDINA function
• Changed - output for att.prior in extract function
• Changed - print number of group for GDINA function
• Changed - documents in simGDINA and GDINA
• Changed - examples in GDINA
• Added - extract ngroup using extract.GDINA function

GDINA 1.2.0

• Fixed - infinite value issue during M-step optimization
• Fixed - itemfit function for missing data
• Fixed - adding monotonic constraints for the sequential models
• Fixed - the maximum likelihood estimation of person attribute through personparm
• Changed - package imports, and suggests
• Changed - slsqp as the first optimizer used for monotonic G-DINA
• Changed - Non zero prior probabilities

GDINA 1.0.0

• Initial release