++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ----------------------- CDM NEWS ----------------------------- ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CDM package +-+-+-+ |C|D|M| +-+-+-+ A. Robitzsch [aut, cre], T. Kiefer [aut], A. C. George [aut], & A. Uenlue [aut] mailto: robitzsch@ipn.uni-kiel.de For reporting a bug, please always provide a reproducible R script and (if necessary) a corresponding dataset. ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ -------------------------------------------------------------- VERSIONS CDM 8.2 | 2022-08-25 | Last: CDM 8.2-6 -------------------------------------------------------------- NOTE * fixed issues in CRAN checks due to the recent use of KaTeX DATA * included/modified datasets: --- EXAMP * included/modified examples: --- -------------------------------------------------------------- VERSIONS CDM 8.1 | 2022-05-12 | Last: CDM 8.1-12 -------------------------------------------------------------- NOTE * released a new version to CRAN because the CDM version 8.0-5 was removed from CRAN DATA * included/modified datasets: --- EXAMP * included/modified examples: --- -------------------------------------------------------------- VERSIONS CDM 8.0 | 2022-05-01 | Last: CDM 8.0-5 -------------------------------------------------------------- NOTE * two minor changes in manual pages in function tests to satisfy CRAN requirements DATA * included/modified datasets: --- EXAMP * included/modified examples: --- -------------------------------------------------------------- VERSIONS CDM 7.6 | 2022-04-11 | Last: CDM 7.6-11 -------------------------------------------------------------- FIXED * fixed numerical issues in modelfit.cor.din() (thanks to @yjchen, Github issue #6) NOTE * included argument 'attr.prob.fixed' in gdina() (thanks to a discussion with Wenchao Ma) DATA * included/modified datasets: --- EXAMP * included/modified examples: --- -------------------------------------------------------------- VERSIONS CDM 7.5 | 2020-03-10 | Last: CDM 7.5-15 -------------------------------------------------------------- FIXED * corrected a bug that stopped gdina.dif() (thanks to Sookhyun Park) NOTE * included argument 'rule' in ideal.response.pattern(). Ideal response patterns can now be also computed for the DINO model (in addition to the DINA model). (suggested by Emine Yavuz) DATA * included/modified datasets: --- EXAMP * included/modified examples: ideal.response.pattern(1) -------------------------------------------------------------- VERSIONS CDM 7.4 | 2019-09-04 | Last: CDM 7.4-19 -------------------------------------------------------------- NOTE * included item content for dataset data.Student in the ?data.Students (requested by Ren Liu) NOTE * corrected ?din (thanks @ifengji, https://github.com/alexanderrobitzsch/CDM/pull/2) NOTE * included NAs for non-defined entries for MD statistic in IRT.RMSD() NOTE * removed redundant code in gdina() function (thanks to Jeremy Zheng; issue #4) DATA * included/modified datasets: --- EXAMP * included/modified examples: --- -------------------------------------------------------------- VERSIONS CDM 7.3 | 2019-03-18 | Last: CDM 7.3-17 -------------------------------------------------------------- NOTE * improved estimation with monotonicity constraints (thanks to discussion with Xin Xu) NOTE * changed normalization of penalty terms in regularized estimation in gdina() and slca() NOTE * fixed numerical instabilities for extreme probabilities in reglca() (thanks to Boris Girnat) NOTE * exported utility function cdm_attach_internal_function() ADDED * added S3 method plot_item_mastery() for plotting item response probabilities for non-masters and masters DATA * included/modified datasets: --- EXAMP * included/modified examples: plot_item_mastery (1) -------------------------------------------------------------- VERSIONS CDM 7.2 | 2019-02-08 | Last: CDM 7.2-30 -------------------------------------------------------------- NOTE * changes in estimation algorithm in reglca() NOTE * changes in estimation algorithm for regularized estimation in gdina() and slca() ADDED * included argument 'regular_weights' for adaptive regularized estimation in gdina() NOTE * added simulation function in data.dtmr FIXED * fixed a bug in slca() in estimation problems with equality constraints NOTE * included data check routine for non-defined categories in Q-matrix in mcdina() (suggested by Marcus Kubsch) FIXED * fixed a bug in cdm.est.class.accuracy() when skill names were missing in Q.matrix (reported by Sandip Sinharay) FIXED * prevent negatively estimated probabilities in gdina() function when PEM acceleration is used (thanks to Yi-Jhen Wu) ADDED * added S3 method IRT.marginal_posterior() for computing marginal posterior distributions (requested by Elif Oezlem Ardic) ADDED * included checks of identifiability conditions of the DINA model according Gu and Xu in din_identifiability() DATA * included/modified datasets: data.dtmr, data.cdm09, data.cdm10 EXAMP * included/modified examples: reglca (1), gdina (13), data.dtmr (2), IRT.marginal_posterior (1), din_identifiability (1) -------------------------------------------------------------- VERSIONS CDM 7.1 | 2018-12-13 | Last: CDM 7.1-20 -------------------------------------------------------------- NOTE * included function numerical_gradient() NOTE * changed computation of numerical gradient to symmetric difference quotient in numerical_Hessian() DATA * included/modified datasets: --- EXAMP * included/modified examples: --- -------------------------------------------------------------- VERSIONS CDM 7.0 | 2018-11-06 | Last: CDM 7.0-12 -------------------------------------------------------------- NOTE * included argument 'prob_min' in reglca() to prevent negatively estimated probabilities or numerical instabilities (thanks to Boris Girnat) NOTE * included utility function cat_paste() DATA * included/modified datasets: --- EXAMP * included/modified examples: --- -------------------------------------------------------------- VERSIONS CDM 6.6 | 2018-09-30 | Last: CDM 6.6-5 -------------------------------------------------------------- NOTE * changes in estimation algorithm in regularized latent class analysis function reglca() to stabilize estimation DATA * included/modified datasets: --- EXAMP * included/modified examples: --- -------------------------------------------------------------- VERSIONS CDM 6.5 | 2018-08-16 | Last: CDM 6.5-12 -------------------------------------------------------------- NOTE * changed metric of regularization parameter lambda in gdina() which seems to improve estimation stability NOTE * exported utility function cdm_parameter_regularization(), cdm_calc_information_criteria(), cdm_penalty_values(), cdm_print_summary_information_criteria() FIXED * corrected output with missing entries in case of groups without observations in IRT.RMSD() (thanks to Laura Helbling) DATA * included/modified datasets: --- EXAMP * included/modified examples: --- -------------------------------------------------------------- VERSIONS CDM 6.4 | 2018-07-06 | Last: CDM 6.4-23 -------------------------------------------------------------- NOTE * included argument 'optimizer' in gdina() which allows to use the stats::optim() function for optimization in M-step (default is optimizer='optim'). 'use_optim=TRUE' is always used for estimation of the RRUM model. This change was motivated by an application of Hamdollah Ravand. NOTE * included utility function cdm_matrixstring() FIXED * allowed items with only zero Q-matrix entries in mcdina() anf fixed a bug in reduced skill space estimation in mcdina() (thanks to Jeannot Gersner) NOTE * exported core computation function IRT_RMSD_calc_rmsd() for RMSD statistic DATA * included/modified datasets: --- EXAMP * included/modified examples: gdina (13) -------------------------------------------------------------- VERSIONS CDM 6.3 | 2018-05-28 | Last: CDM 6.3-45 -------------------------------------------------------------- NOTE * renamed thresholding penalty functions NOTE * deleted seed argument from cdm.est.class.accuracy() function ADDED * included general simulation function sim_model() ADDED * included function IRT.classify() for computing individual classifications ADDED * included function eval_likelihood() for evaluating likelihood (and posterior) and prep_data_long_format() for saving item response matrix in long format NOTE * included corrected statistics for classification accuracy and consistency in cdm.est.class.accuracy() DATA * included/modified datasets: --- EXAMP * included/modified examples: sim_model (1), IRT.classify (1), eval_likelihood (1) -------------------------------------------------------------- VERSIONS CDM 6.2 | 2018-05-02 | Last: CDM 6.2-91 -------------------------------------------------------------- FIXED * fixed a bug in IRT.RMSD() function for models fitted in the CDM package NOTE * speeded parts of the IRT.modelfit() function ADDED * included item discrimination indices in discrim.index() function (Henson, DiBello & Stout, 2018) NOTE * included argument 'IDI_diff' in the din.validate.qmatrix() function. Speeded this function due to referring most of the computations to Rcpp. ADDED * included cognitive diagnosis model for simultaneous identification for skills and misconceptions (Kuo et al., 2018, APM). The model is included in the gdina() function using the argument rule='SISM'. DATA * included/modified datasets: data.timss07.G4.py, data.timss07.G4.Qdomains, data.timss11.G4.sa, data.cdm05, data.cdm06, data.cdm07, data.pisa00R.ct, data.pisa00R.cc, data.cdm08 EXAMP * included/modified examples: IRT.RMSD (3), data.timss07.G4.lee (2), data.cdm (2), data.pisa00R (1), gdina (12) -------------------------------------------------------------- VERSIONS CDM 6.1 | 2018-02-26 | Last: CDM 6.1-10 -------------------------------------------------------------- FIXED * fixed bug of computation of MD statistic in IRT.RMSD() which was recently broken NOTE * included item index in title of figures in IRT.irfprobPlot() DATA * included/modified datasets: --- EXAMP * included/modified examples: IRT.RMSD (2) -------------------------------------------------------------- VERSIONS CDM 6.0 | 2017-11-20 | Last: CDM 6.0-101 -------------------------------------------------------------- ADDED * included regularized maximum likelihood in slca() ADDED * included option for positivity constraints of Xlambda parameter in slca() ADDED * included P-EM acceleration method in slca(), gdm(), and gdina() NOTE * avoided inversion of singular covariance matrices in gdina() by using MASS::ginv() NOTE * included several sub-datasets and different Q-matrices of the fraction subtraction dataset (see 'data.fraction') NOTE * slight changes in algorithm of higher-order GDINA model NOTE * included argument 'diag_only' in numerical_Hessian() NOTE * exported utility functions cdm_fa1(), cdm_print_summary_call(), cdm_print_summary_computation_time(), threshold operators cdm_XXX_threshold() for diverse 'XXX', cdm_fit_normal(), cdm_parameter_regularization(), cdm_penalty_values(), CDM_rbind_fill(), cdm_matrix1(), cdm_matrix2() NOTE * included derivative function numerical_Hessian_partial() ADDED * added option for monotonicity constraints in gdina() ADDED * added regularization methods in gdina(). Implemented are the penalties SCAD, lasso, ridge, SCAD-L2, truncated L1, MCP (Xu & Shang, 2017, JASA) NOTE * included argument 'freq_weights' in gdina() to disable the usage of frequency weights ADDED * included prior distributions for item parameters in gdina() function ADDED * added regularized latent class estimation (reglca(); Chen et al., 2015, JASA; Chen et al., 2017, Psychometrika) NOTE * extended option for skill space reduction in gdina() to multiple group analysis NOTE * enabled 'delta.designmatrix' argument in gdm() function which was previously ignored NOTE * disbaled PEM acceleration for HOGDINA models (not yet implemented, thanks to Hamdollah Ravand) DATA * included/modified datasets: data.fraction3, data.fraction4, data.fraction5 EXAMP * included/modified examples: gdina (1.9, 1.10, 1.11), slca (6), reglca (1) -------------------------------------------------------------- VERSIONS CDM 5.9 | 2017-10-06 | Last: CDM 5.9-27 -------------------------------------------------------------- FIXED * fixed a bug in 'gdina' function in argument 'invariance' if a vector of item names is used (thanks to Hamdollah Ravand) FIXED * fixed the broken function 'gdina.dif' (thanks again to Hamdollah Ravand) ADDED * added EM acceleration method P-EM in function 'slca' by argument 'PEM' NOTE * included P-EM utility functions 'cdm_pen_XXX' and 'cdm_print_summary_data_frame' DATA * included/modified datasets: --- EXAMP * included/modified examples: gdina (5.5) -------------------------------------------------------------- VERSIONS CDM 5.8 | 2017-08-07 | Last: CDM 5.8-9 -------------------------------------------------------------- NOTE * fixed a bug in 'equivalent.dina' and included an additional example (thanks to Sedat San) NOTE * moved lattice and psych packages from 'Imports' to 'Suggests'. Removed MASS and plyr packages from 'Imports'. NOTE * imported utility functions 'CDM_require_namespace' and 'CDM_rmvnorm'. FIXED * fixed a bug in 'gdina' for Q-matrices with only one skill (thanks to Matthew Madison) DATA * included/modified datasets: --- EXAMP * included/modified examples: equivalent.dina (3) -------------------------------------------------------------- VERSIONS CDM 5.7 | 2017-06-24 | Last: CDM 5.7-16 -------------------------------------------------------------- ADDED * included S3 method 'IRT.frequencies' for calculation of observed and expected frequencies of univariate and bivariate distributions (suggested by Rudolf Debelak) DATA * included/modified datasets: --- EXAMP * included/modified examples: IRT.frequencies (1) -------------------------------------------------------------- VERSIONS CDM 5.6 | 2017-06-17 | Last: CDM 5.6-16 -------------------------------------------------------------- NOTE * internal restructure of 'gdina' and 'gdm' functions DATA * included/modified datasets: --- EXAMP * included/modified examples: --- -------------------------------------------------------------- VERSIONS CDM 5.5 | 2017-04-11 | Last: CDM 5.5-21 -------------------------------------------------------------- NOTE * corrected a wrong specification in the Rd manual of 'skillspace.hierarchy' (Example 2; thanks to Peida Zhan) FIXED * corrected calculations of MD and MAD statistics in 'IRT.RMSD' FIXED * fixed a bug in computation of 'itemfit.sx2' in case of cells with frequencies of zero (thanks to Carmen Koehler) DATA * included/modified datasets: --- EXAMP * included/modified examples: skillspace.hierarchy (2) -------------------------------------------------------------- CDM 5.4 (2017-02-08) -- CRAN CDM 5.4-0 -------------------------------------------------------------- FIXED * fixed warnings in calculation of standard errors in 'gdina' and 'gdina.wald' (thanks to Andres Alberto Burga Leon) DATA * included/modified datasets: --- EXAMP * included/modified examples: --- -------------------------------------------------------------- CDM 5.3 (2017-01-11) -- CRAN CDM 5.3-0 -------------------------------------------------------------- ADDED * included function CDM::IRT.RMSD which computed group-wise item fit. The RMSD item fit statistic was denoted as RMSEA in previous publications and is internally computed by the CDM::itemfit.rmsea function in the CDM package. ADDED * included chi square statistic and MAD statistic (mean absolute deviation) of item fit in CDM::IRT.RMSD NOTE * cleaned code in function 'WaldTest' a bit (thanks to suggestions of Michael Chirico) NOTE * added links to recently released GDINA package in R. Included Example 1d for fitting a GDINA model with GDINA::GDINA. DATA * included/modified datasets: --- EXAMP * included/modified examples: IRT.RMSD (1), gdina (1d) -------------------------------------------------------------- CDM 5.2 (2016-10-14) -- CRAN CDM 5.2-1 -------------------------------------------------------------- NOTE * extended 'item_by_group' function which can now handle partial set of group-specific items ADDED * included option for a subset of invariant items in multiple group estimation of GDINA model in 'gdina' (requested by Hamid Bahrami) FIXED * fixed a bug in setting boundaries for guessing and slipping parameters in 'din' (thanks to Jill-Jen Vie) NOTE * reference to new Journal of Statistical Software George et al. article in the CITATION file and the CDM manual DATA * included/modified datasets: --- EXAMP * included/modified examples: item_by_group (1), gdina (5) -------------------------------------------------------------- CDM 5.1 (2016-08-29) -- CRAN CDM 5.1-0 -------------------------------------------------------------- FIXED * changed the method of standard error calculation in 'gdina' function. It seems that previous CDM version produced overestimated standard errors (thanks to Xue-Lan Qiu). The improved calculation is now the default specified as the argument 'se_version=1'. The behavior of older CDM versions can be obtained with 'se_version=0'. DATA * included/modified datasets: --- EXAMP * included/modified examples: --- -------------------------------------------------------------- CDM 5.0 (2016-07-11) -- CRAN CDM 5.0-0 -------------------------------------------------------------- NOTE * changed the way of calculating numerical derivatives in 'numerical_Hessian' NOTE * included utility function 'abs_approx' for a differentiable function approximation (and its derivative 'abs_approx_D1') of absolute value function NOTE * added argument 'append' in function 'osink' NOTE * included a utility function 'summary_sink' which sinks summary output of a method into a file NOTE * included utility function 'deltaMethod' for nonlinear transformations of parameters NOTE * included utility function 'item_by_group' which extends a dataset of item responses and a grouping variable to an extended dataset of group-specific item responses ADDED * added sequential GDINA model for polytomous item responses (Ma & de la Torre, 2016, BJMSP) in 'gdina' function. NOTE * included argument 'invariance' in 'gdina' which allows specification of non-invariant item parameters across multiple groups (see ?gdina, Example 5) NOTE * changed number of M-steps in 'slca' in default to 10 iterations (msteps=10) DATA * included/modified datasets: data.cdm04 EXAMP * included/modified examples: abs_approx (1), summary_sink (1), deltaMethod (1), item_by_group (1), gdina (5,11) -------------------------------------------------------------- CDM 4.991 (2016-05-31) -- CRAN CDM 4.991-1 -------------------------------------------------------------- NOTE * changed argument structure of 'numerical_hessian' NOTE * included maximum likelihood estimation method for GDINA models (method='ML') which seems to be more stable when method='ULS' (or 'WLS') has a bad convergence behavior. Now, the GDINA function switches to ML estimation if the RRUM model is used (thanks to a correspondence with Thomas Eckes). NOTE * added an example of fitting (data.cdm, Example 1) the reduced RUM model in the CDM package (see the recent Chiu et al., IJT paper) NOTE * changed default value of 'max.increment' argument in 'gdina' function to .3 FIXED * fixed a bug in 'gdina.dif' (thanks to Sinem Senfarah) DATA * included/modified datasets: data.cdm03 EXAMP * included/modified examples: data.cdm (1) -------------------------------------------------------------- CDM 4.8 (2016-03-10) -- CRAN CDM 4.8-0 -------------------------------------------------------------- FIXED * fixed a bug in 'itemfit.sx2' for fitted objects in TAM NOTE * slightly changed output of 'print' methods NOTE * changed argument 'rdigits' to 'digits' in 'summary' method if necessary NOTE * included utility functions 'osink' and 'csink' for writing output of 'summary' into a file NOTE * allowed argument 'file' in 'summary' method for objects of class 'gdina', 'gdm', 'mcdina' and 'slca' ADDED * included function 'numerical_Hessian' for a numerical evaluation of the Hessian matrix DATA * included/modified datasets: --- EXAMP * included/modified examples: osink (1), numerical_Hessian (1) -------------------------------------------------------------- CDM 4.7 (2016-01-30) -- CRAN CDM 4.7-0 -------------------------------------------------------------- NOTE * extended Wald test for item fit 'gdina.wald' for DINO models. In addition, an effect size of approximation ('uwgtdist' and 'wgtdist') is included NOTE * cleaned namespace file and defined imported functions in a more explicit way ADDED * added a S3 method 'IRT.parameterTable' ADDED * added a utility function 'WaldTest' for performing Wald tests DATA * included/modified datasets: --- EXAMP * included/modified examples: gdina.wald (1), data.ecpe (1), -------------------------------------------------------------- CDM 4.6 (2015-11-04) -- CRAN CDM 4.6-0 -------------------------------------------------------------- NOTE * included optional lower and upper bounds for estimation of guessing and slipping parameters in 'din' (arguments 'guess.min', 'guess.max', 'slip.min', 'slip.max') (requested by Kevin Carl Santos) DATA * included/modified datasets: --- EXAMP * included/modified examples: --- -------------------------------------------------------------- CDM 4.5 (2015-08-28) -- CRAN CDM 4.5-0 -------------------------------------------------------------- NOTE * extended 'din' and 'gdina' functions for items with more than five measured attributes per item (requested by Alvaro Artavia Medrano) NOTE * included 'converged' value for all models indicating whether maximum number of iterations was reached (suggested by an anonymous reviewer) DATA * included/modified datasets: --- EXAMP * included/modified examples: --- -------------------------------------------------------------- CDM 4.4 (2015-07-01) -- CRAN CDM 4.4-1 -------------------------------------------------------------- FIXED * fixed a bug in function 'sequential.items' DATA * included/modified datasets: --- EXAMP * included/modified examples: --- -------------------------------------------------------------- CDM 4.3 (2015-06-05) -- CRAN CDM 4.3-0 -------------------------------------------------------------- NOTE * included t and p values in 'IRT.jackknife.gdina' FIXED * fixed bugs in 'summary.gdina' and 'gdina' due to computational problems in standard error calculation DATA * included/modified datasets: --- EXAMP * included/modified examples: --- -------------------------------------------------------------- CDM 4.2 (2015-02-23) -- CRAN CDM 4.2-12 -------------------------------------------------------------- FIXED * fixed the ignorance of the 'centered.latent' argument in the 'gdm' function ADDED * included S3 methods 'IRT.expectedCounts' for extracting expected counts and 'IRT.data' for extracting the used item response dataset ADDED * included general plotting function for item response functions 'IRT.irfprobPlot'. This function can be used with both lattice and graphics packages. ADDED * included S3 method 'predict' (and function 'IRT.predict') for computing expected values and residuals for fitted models in CDM NOTE * added attributes group and weights to 'IRT.data' value NOTE * added a summary method for 'IRT.compareModels' NOTE * changed output of posterior in 'gdina' ADDED * included function 'IRT.repDesign' for constructing replicate designs ADDED * added arguments for fixing and initial parameters in 'gdina' function NOTE * added parameter table and matrix of polychoric correlations among skills in 'gdina' output ADDED * added S3 method 'IRT.jackknife' and an initial version for models of class 'gdina' ADDED * added function 'IRT.derivedParameter' for replication methods for derived parameters based on objects of class 'IRT.jackknife' DATA * included/modified datasets: data.timss11.G4.AUT, data.timss11.G4.AUT.part EXAMP * included/modified examples: IRT.expectedCounts (1,2), IRT.irfprobPlot (1,2), predict (1,2), IRT.data (1), IRT.repDesign (1,2), gdina (1), IRT.jackknife (1,2) -------------------------------------------------------------- CDM 4.1 (2014-12-17) -- CRAN CDM 4.1 -------------------------------------------------------------- NOTE * included confidence intervals S3 method for din objects FIXED * fixed a bug in printing BIC for 'gdina' objects NOTE * included S3 method 'IRT.modelfit' for assessment of absolute model fit NOTE * included S3 method 'IRT.se' for computation of standard errors NOTE * included S3 method 'IRT.IC' for extracting information criteria and 'IRT.compareModels' for model comparisons NOTE * included object names in 'anova' methods for CDM objects NOTE * included S3 method 'IRT.anova' NOTE * removed MX2 statistic from 'modelfit.cor' function DATA * included/modified datasets: --- EXAMP * included/modified examples: vcov.din (1), IRT.modelfit (1), IRT.IC (1), IRT.compareModels (1), anova (1,2) -------------------------------------------------------------- CDM 4.0 (2014-11-21) -- CRAN CDM 4.0 -------------------------------------------------------------- NOTE * included argument for iteration progress in 'gdm' and 'slca' NOTE * included value call in 'din', 'gdina', 'gdm', 'mcdina' and 'slca' NOTE * changed print method in 'din' and included print method for 'gdina', 'gdm' and 'slca' NOTE * added anova and coef method for 'slca' function ADDED * added asymptotic covariance matrix estimation S3 method 'vcov' for objects of class din ADDED * added computation of entropy of whole test and items in function 'entropy.lca' (Asparouhov & Muthen, 2014) NOTE * included a summary function for 'cdi.kli' NOTE * included a function 'skillspace.full' for creating a skill space for dichotomous skills ADDED * included a plot S3 method for 'gdm' and 'slca' NOTE * corrected a bug in person value of 'gdm': missing standard errors of EAPs of multiple dimensions are now included ADDED * included person fit appropriateness statistic (Liu et al., 2009) ADDED * included S3 methods 'IRT.likelihood', 'IRT.personfit', 'IRT.irfprob' and 'IRT.factor.scores' for objects of classes din, gdina, gdm, slca and mcdina NOTE * included person parameter estimation (classification) for 'slca' and 'mcdina' functions DATA * included/modified datasets: --- EXAMP * included/modified examples: data.dcm (1), modelfit.cor (2), vcov-CDM (1), entropy.lca (1,2,3), personfit.appropriateness (1,2), slca (1), IRT.likelihood (1), IRT.irfprob (1), IRT.factor.scores (1) -------------------------------------------------------------- CDM 3.4 (2014-08-31) -- CRAN CDM 3.4-21 -------------------------------------------------------------- NOTE * speeded itemfit.sx2 a bit NOTE * included output value 'pattern' in multiple group GDINA models (requested by Sung Eun Kim) NOTE * included adjusted mean absolute deviation of Q3 statistics (MADaQ3) in modelfit.cor.din EXAMP * included examples for running CDMs in mirt package o DINA model ('data.dcm', Model 1) o additive GDINA model ('data.dcm', Model 6) DATA * included/modified datasets: --- EXAMP * included/modified examples: modelfit.cor (1), din.deterministic, itemfit.sx2 (1), data.dcm (1,6) -------------------------------------------------------------- CDM 3.3 (2014-05-25) -- CRAN CDM 3.3-24 -------------------------------------------------------------- ADDED * included structured latent class analysis for polytomous data ('slca') DATA * included/modified datasets: --- EXAMP * included/modified examples: slca (1,2,3,4,5) -------------------------------------------------------------- CDM 3.2 (2014-04-23) -- CRAN CDM 3.2-6 -------------------------------------------------------------- NOTE * included an argument save.devmin in 'gdina' for more parsimonious savings of output values to avoid working memory overflow for large datasets NOTE * included effect size of differential item functioning in gdina model (included in 'gdina.dif') FIXED * fixed a bug in itemfit.sx2 DATA * included/modified datasets: --- EXAMP * included/modified examples: gdina.dif (1) -------------------------------------------------------------- CDM 3.1 (2014-03-21) -- CRAN CDM 3.1-14 -------------------------------------------------------------- FIXED * fixed a bug when printing objects of class 'din' NOTE * allowed vector input of item response pattern in 'plot.din' NOTE * disabled argument log.file in 'summary.din' NOTE * included random initial parameter values in 'din' and 'gdina' NOTE * changed some settings in plot.din DATA * included/modified datasets: --- EXAMP * included/modified examples: din (1), gdina (1), plot.din -------------------------------------------------------------- CDM 3.0 (2014-02-26) -- CRAN CDM 3.0-29 -------------------------------------------------------------- NOTE * changed output in summary.gdina a bit (fixed a bug for the output of skill probabilities) NOTE * included the argument 'avoid.zeroprobs' in gdina function to avoid zero probabilities of skill classes and inversion of singular matrices NOTE * fixed problems in itemfit.sx2 for empty cells (thanks to Balal Izanloo) ADDED * included a Wald test for the GDINA model (gdina.wald) ADDED * included assessment of item-wise differential item functioning in the GDINA model (gdina.dif) FIXED * removed minor bug in summary.gdina FIXED * fixed a bug with singular design matrix in skill space reduction ADDED * included calculation of polychoric correlation in summary.gdina and an additional function skill.polychor NOTE * removed parallel plot form plot.din FIXED * fixed a crucial bug for in the multidimensional GDMs with item slope parameter estimation ADDED * included function 'mcdina' for estimating the multiple group multiple choice DINA (MCDINA) model with polytomous attributes DATA * included/modified datasets: data.cdm01, data.cdm02 EXAMP * included/modified examples: data.ecpe, gdina.wald (1), gdina.dif (1), din (7), mcdina (1,2,3) -------------------------------------------------------------- CDM 2.7 (2014-01-30) -- CRAN CDM 2.7-7 -------------------------------------------------------------- ADDED * included cognitive diagnostic indices based on Kullback-Leibler information ('cdi.kli') NOTE * changed NAMESPACE and DESCRIPTION files due to a change in Rcpp NOTE * included non-exported Rcpp files for calculating individual likelihood and posterior distribution for polytomous items and multiple groups DATA * included/modified datasets: --- EXAMP * included/modified examples: cdi.kli (1) -------------------------------------------------------------- CDM 2.6 (2014-01-19) -- CRAN CDM 2.6-13 -------------------------------------------------------------- FIXED * fixed a bug in polytomous GDINA models with only one skill NOTE * included value 'zeroprob.skillclasses' in skillspace.hierarchy NOTE * included a more efficient skill space reduction method in gdina: using the argument 'reduced.skillspace.method', the new implemented method is now the default ADDED * included data transformation function 'sequential.items' for constructing dichtomous pseudo items from polytomous items for estimation sequential item response models DATA * included/modified datasets: data.sda6, data.timss03.G8.su, data.timss07.G4.lee EXAMP * included/modified examples: gdm (10) -------------------------------------------------------------- CDM 2.5 (2014-01-16) -- CRAN CDM 2.5-48 -------------------------------------------------------------- FIXED * fixed a bug when inverting a singular matrix in standard error calculation in gdina function (thanks to Hsin-Hao Chen) NOTE * included conditional item probabilities in gdina output NOTE * included gdina plot function (thanks to a discussion with Hamdollah Ravand) FIXED * fixed a bug in summary.dina if data without column names is provided (thanks to Hu Jinxiang) FIXED * removed a bug in gdina function which occured sometimes due to division by zero (thanks to Hu Jinxiang) FIXED * fixed a bug in cdm.est.class.accuracy for GDINA models (thanks to Hamdollah Ravand) FIXED * fixed some instable numerical behavior for higher order GDINA models (thanks to Ed Merkle) FIXED * fixed a bug in calculating number of estimated parameters for 'din' function in case of skill classes with zero probability (thanks to Juergen Gross) NOTE * added some explanations in the manual of 'modelfit.cor' ADDED * included S-X2 item fit statistic ('itemfit.sx2') accompanied with a summary and a plot method ADDED * included marginal skill classification reliability in 'cdm.est.class.accuracy' function ADDED * implemented significance tests in modelfit.cor and modelfit.cor.din ADDED * included jackknife estimation of standard errors and bias corrected estimators in modelfit.cor.din NOTE * speeded function 'modelfit.cor' by moving some parts of the code to Rcpp NOTE * included warnings in case of nonconvergence in gdina function (thanks to a dataset provided by Hamdollah Ravand) NOTE * slight change of algorithm for skill space reduction which seems to improve convergence behavior ADDED * included a function for skill space approximation ADDED * included a function for calculation reduced skill spaces if hierarchies among skills exist ('skillspace.hierarchy') ADDED * included generalized distance discriminating method and a function for computing ideal response patterns DATA * included/modified datasets: data.hr, data.melab, data.jang, data.dtmr EXAMP * included/modified examples: gdm (4,5,6), gdina (8,9), sim.din (3), sim.gdina (2,3), itemfit.sx2 (1,2), din(6) -------------------------------------------------------------- CDM 2.4 (2013-10-24) -- CRAN CDM 2.4-9 -------------------------------------------------------------- DATA * included two datasets 'data.dcm' and 'data.ecpe' DATA * eliminated a recoding error in data.Students -------------------------------------------------------------- CDM 2.3 (2013-09-06) -- CRAN CDM 2.3-15 -------------------------------------------------------------- NOTE * worked on slight improvements of computation time in din and gdina DATA * included multiple group dataset 'data.mg' NOTE * cleaned CDM manual (thanks to Michaela Mayr) -------------------------------------------------------------- CDM 2.2 (2013-08-20) -- CRAN CDM 2.2-20 -------------------------------------------------------------- NOTE * accelerated rowMaxs function ADDED * included Q-matrix validation function (de la Torre, 2008) ADDED * included joint maximum likelihood estimation and classification function for the mixed DINA/DINO model -> function din.deterministic EXAMP * included another example (based on attribute vectors) in sim.din function ADDED * included polytomous GDINA model (Chen & de la Torre, 2013) -------------------------------------------------------------- CDM 2.01 (2013-07-27) -- CRAN CDM 2.01-11 -------------------------------------------------------------- FIXED * fixed a bug in gdm in multiple group estimation: group labeling was incorrect and is now included in output group.stat and displayed in summary.gdm NOTE * improved convergence behavior for multiple group analysis NOTE * accelerated calculation in gdm: skillspace reduction -------------------------------------------------------------- CDM 1.5 (2013-07-09) -- CRAN CDM 1.5-12 -------------------------------------------------------------- NOTE * allowed for centering of intercepts and slopes in gdm ADDED * included satured skill distribution estimation in gdm FIXED * fixed a bug in the calculation of RMSEA itemfit, although is not clear if the correct formula is used FIXED * fixed a bug in gdm with varying number of item categories (thanks to Artur Pokropek) ADDED * included the multidimensional latent class IRT model (Bartolucci, 2007) in gdm (skillspace="est") NOTE * speeded calculation of modelfit.cor -------------------------------------------------------------- CDM 1.4 (2013-06-30) -- CRAN CDM 1.4-16 -------------------------------------------------------------- FIXED * eliminated a bug in GDINA function for link="log" ADDED * included the parametrization of the reduced RUM model in gdina ADDED * worked on higher order GDINA model which has the argument HOGDINA in gdina. Now there is dependency on the 'fa' factor analysis function in the psych package. ADDED * included log-likelihood extractor functions ADDED * included group-wise calculation of RMSEA statistics see itemfit.rmsea and the gdm output (thanks to Artur Pokropek) FIXED * (hopefully) fixed a bug in gdm function with differing number of item categories (thanks to Artur Pokropek) NOTE * use frequency patterns in gdm to speed up calculations for large data sets (argument 'use.freqpatt' in gdm function) NOTE * included more than one step in gdm function - arguments msteps (set to 8 M steps as the default) and convM -------------------------------------------------------------- CDM 1.3 (2013-05-15) -- CRAN CDM 1.3-17 -------------------------------------------------------------- ADDED * included the general diagnostic model (function gdm) ADDED * included a function for calculating equivalent skill classes for the DINA/DINO model ADDED * modelfit and anova functions are also accessible for the GDM FIXED * fixed a bug in the function for classification accuracy ADDED * included the RMSEA item fit index FIXED * fixed a bug in gdina estimation ADDED * included coef extractor function -------------------------------------------------------------- CDM 1.2-3 (2013-02-12) -------------------------------------------------------------- ADDED * included a model fit function modelfit.cor(.din) for the comparison of observed and expected correlations FIXED * fixed a bug in the gdina function when applying the model with one skill -------------------------------------------------------------- CDM 1.2-1/1.2-2 (2013-02-01) -------------------------------------------------------------- ADDED * allow for user specified reduced skill space designs ADDED * included tetrachoric correlations in summary.gdina function ADDED * handled zero probability classes in gdina function ADDED * allowed for output and input of attribute patterns in sim.din function NOTE * included relative deviance change as convergence criterion in din function ADDED * included function for determining a statistically equivalent DINA model (von Davier, 2013) NOTE * changed structure of din summary ADDED * included an anova function ADDED * included a function for estimating classification reliability FIXED * fixed a bug in gdina function when creating design matrices -------------------------------------------------------------- CDM 1.2.0 (2012-09-30) -------------------------------------------------------------- ADDED * implemented the latent skill space reduction according to Xu and von Davier (2008) FIXED * fixed a bug in calculation of estimated parameters FIXED * fixed a bug in IDI calculation FIXED * corrected MLE based classification in case of latent classes with a priori spceified zero probability in the din function (yet to be done in gdina) FIXED * fixed a bug in standard error calculation in gdina NOTE * speed improvements in din and gdina function - included a C function for calculating the posterior distribution NOTE * check of admissible rule in gdina ADDED * include rule "GDINA2" and "GDINA1" ("GDINA1" is equivalent to "ACDM") ADDED * Simulation function for the GDINA model included ADDED * multiple group gdina function for estimation of generalized DINA models (de la Torre, 2011) ADDED * included new function summary.gdina -------------------------------------------------------------- CDM 1.1 (2012-07-29) -------------------------------------------------------------- NOTE * highest argument deleted from print.din method NOTE * new argument for summary.din n.skill.classes NOTE * skill pattern probabilities deleted from print.din NOTE * skill pattern summary replaced by n most frequent skill classes in summary.din NOTE * (argument ask=TRUE in summary.din placed by overwrite=FALSE) NOTE * use a different item discrimination index (Lee et al., 2012) NOTE * remove GDINA estimation from this package version because it is in an experimental status -> gdina will be included in CDM >= 1.1-1 NOTE * new optional attribute for q-matrix specification list of skill labels NOTE * changed ouput in din function -> pattern, like and posterior are sorted according to the original input data frame FIXED * remove a bug for models with only attribute ADDED * new argument for din method zeroprob.skillclasses ADDED * new argument for din method equal.itempars NOTE * new arguments for summary.din method log.file and ask FIXED * minor bug fixes in print.din method NOTE * replace internal method rowProds with faster rowProds2 NOTE * option for writing an output file of model results included in function summary.din -------------------------------------------------------------- CDM 1.0 (2011-10-27) -------------------------------------------------------------- [--- FIRST CRAN RELEASE ---]