NEWS

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hmmm 1.0-5 (2024-05-13)

• a bug in function inv_GMI has been fixed
• dismissed functions about hidden Markov models

hmmm 1.0-4 (2018-03-14)

• functions GMI and inv_GMI are introduced to compute loglinear parameters from marginal parameters and viceversa

hmmm 1.0-3 (2014-08-14)

• Revised the tutorial file
• Modified Citation file

hmmm 1.0-2 (2014-01-08)

• Function akaike for selecting models is added
• A new dataset is inserted
• Function hmmm.chibar now has new arguments to handle also a new type of test and to calculate exact weights for the chi-bar distribution
• Modified the convergence criterium for the estimates in the function hidden.emfit
• Revised the tutorial file

hmmm 1.0-1 (2013-02-15)

• Function hmmm.chibar can now handle also mph models and the function chibar has been deleted
• Fixed bugs in hmmm.model.X, loglin.model and summary.mphfit
• Modified the function hidden.emfit to allow the use of more than one latent variable. The new function enables to define the marginal models for observed and latent variables using hmmm.model and hmmm.model.X
• Updated few examples in the help files and in the demo
• Revised the tutorial file