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----------------------- CDM NEWS -----------------------------
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CDM package
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|C|D|M|
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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.
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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
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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: ---
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CDM 4.5 (2015-08-28) -- CRAN CDM 4.5-0
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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: ---
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CDM 4.4 (2015-07-01) -- CRAN CDM 4.4-1
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FIXED * fixed a bug in function 'sequential.items'
DATA * included/modified datasets: ---
EXAMP * included/modified examples: ---
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CDM 4.3 (2015-06-05) -- CRAN CDM 4.3-0
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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
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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)
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CDM 3.2 (2014-04-23) -- CRAN CDM 3.2-6
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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)
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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
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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)
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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)
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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)
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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)
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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
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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)
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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
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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
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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
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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
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CDM 1.0 (2011-10-27)
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[--- FIRST CRAN RELEASE ---]