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*                                                  *
*  Changes and Developments in the difNLR Package  *
*                                                  *
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- Changes in difNLR 1.0.3 (2017-06-15) -
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MAJOR UPDATES

  o Bug of plot.ddfMLR() for nonuniform DDF was fixed.
  o References were updated.

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- Changes in difNLR 1.0.2 (2017-06-06) -
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MAJOR UPDATES

  o Bug of dimensions for parameter estimates of 'difNLR()'
    function was fixed.
  o Datasets 'GMAT' and 'GMATtest' were extended by 'criterion'
    variable which is intended to be predicted by test.
  o 'coef', 'logLik', 'AIC' and 'BIC' S3 methods were added for
    class 'ddfMLR'.

MINOR UPDATES

  o  Functions 'plot.ddfMLR()' and 'plot.difNLR()' were slightly
     improved.
  o  Updated error and warning handling in 'difNLR()' and 'ddfMLR()'
     functions.
  o  Description file was updated.
  o  Item names are now the same as in original data set.
  o  Readme file updated.

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- Changes in difNLR 1.0.0 (2017-01-10) -
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MAJOR UPDATES

  o  New function ddfMLR() to detect Differential Distractor
     Functioning (DDF) with Multinomial Log-linear Regression
     (MLR) model.
     S3 methods for class 'ddfMLR' also added - 'print' and 'plot'.

  o  New function MLR() to calculate likelihood ratio statistic
     for detecting DDF with MLR model.

  o  The 'difNLR()' function can handle 6 generalized logistic
     regression models with option 'model'.

  o  Functions 'startNLR()', 'genNLR()' ans S3 methods for class
     'difNLR' were changed according 'difNLR()' function. S3 method
     'coef' was created.

  o  New functions NLR() and constrNLR() can now calculates DIF
     detection statistics and specify constraints for generalized
     logistic regression model.

  o  Function 'difNLR()' was edited to response to 'difR' package
     and its DIF detection functions.

  o  Function 'genNLR()' was changed to generate dataset from
     generalized logistic regression model with 8 parameters.

MINOR UPDATES

  o  The CITATION file was updated.

  o  Several typos were fixed.

  o  Some default options of input were changed.

  o  'AIC()', 'BIC()' and 'logLik()' S3 methods added to 'difNLR()'

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- Changes in difNLR 0.2.0 (2016-11-09) -
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MAJOR UPDATES

  o S3 method 'plot' for class 'difNLR' was updated.

  o New option of 'test' in 'difNLR()' function was added. Possible
    choices are now 'F' for F-test and 'LR' for likelihood ratio test.

  o Choice of significant level 'alpha' was added into 'difNLR()'
    function with default option 0.05.

  o Six new data sets were added - scored 'GMAT' data, its unscored version
    'GMATtest' and its key 'GMATkey'. Scored 'difMedical' data set, its
    unscored version 'difMedicaltest' and key 'difMedicalkey'.

  o New function 'genNLR()' was added to generate scored (binary) data with
    model by 'difNLR'.

MINOR UPDATES

  o  Several typos were fixed.
