Changes in flexmix version 2.2-4

  o Model drivers FLXMRlmer() and FLXMRlmm() added for fitting finite
    mixtures of linear mixed effects models.

  o EIC() added as additional information criterion for assessing model fit.
	
  o Bug fixed in plot method for flexmix objects introduced in version 2.2-3.

Changes in flexmix version 2.2-3
	
  o New model driver FLXMCmvcombi() which is a combination of 
    Gaussian and binary. 

  o parameters() now also has a which argument in order to allow to
    access the parameters of the concomitant variable model.

  o Bug fixed in refit().

  o nobs() now returns the number of rows in the data.frame and not the
    number of individuals (similar as for example by lme).

Changes in flexmix version 2.2-0

  o vignette describing Version 2 added

  o isTRUE(all.equal()) replaced with identical().

  o Bug fixed for prior in flexmix().

  o New function relabel() to sort components (generic is in modeltools).

  o New example data generator ExLinear().

  o Fixed a bug in handling groups (gave an error for empty design matrices).

  o Added new model FLXMRrobglm() for robust estimation of GLMs.


Changes in flexmix version 2.1-0

  o Renamed cluster() to clusters() to avoid conflict with cluster() 
    from package survival

  o Bug fixed in internal functions using S4 generics and methods.


Changes in flexmix version 2.0-2

  o refit() now has a method argument. For method "optim" the
    variance-covariance matrix is determined using optim() to maximize the
    likelihood initialized in the solution found by the EM algorithm. 
    Method "mstep" refits the component specific and concomitant models 
    treating the posterior probabilities as given, i.e. performs an M-step 
    of the EM algorithm.


Changes in flexmix version 2.0-1

  o Lapply() added which allows to apply a function to each component
    of a finite mixture

  o KLdiv() modified to allow for determination with a discrete and a
    continuous version of the KL divergence


Changes in flexmix version 2.0-0

  o Model driver for zero-inflated component specific models.

  o Latent class analysis for binary multivariate data is now
    possible to estimate for truncated data where the number of 
    observations with pattern only zeros is missing.

  o new argument newdata for cluster()

  o new unique() method for "stepFlexmix" objects


Changes in flexmix version 1.9-0

  o New class definitions for component specific models and
    concomitant variable models.

  o fitted() and predict() now have an aggregate argument in order to
    be able to determine the aggregated values over all components.

  o The package has now a vignette presenting several applications of
    finite mixtures of regression models with varying and fixed effects 
    on artificial and real data which can be a accessed using the
    command vignette("regression-examples").

  o The vignette "flexmix-intro" was adapted to reflect the changes
    made in the package.

  o stepFlexmix() now returns an object of class stepFlexmix which has
    a print and plot method. In addition getModel() can be used to
    select an appropriate model.

  o flexmix() now has a weights argument for multiple identical
    observations.

  o New model drivers for latent class analysis with Bernoulli and
    Poisson distributed multivariate observations.

  o Variants of the EM algorithm have been modified to correspond to
    CEM and SEM. These names can now also be used for specifying the
    classify slot of the FLXcontrol object.


Changes in flexmix version 1.8-1

  o The package can now fit concomitant variable models.

  o New M-step driver for regression models with varying and fixed
    effects.
    
  o ICL information criterion


Changes in flexmix version 1.1-2

  o Fixed a bug that made the log-likelihood infinity for observations
    where all posteriors are numerically zero

  o Fixed a bug for formulae with dots.

  o posterior() now has a newdata argument.

  o New demo driver for model-based clustering of binary data.
 
  o Adapted to changes in summary.glm() of R version 2.3.0.


Changes in flexmix version 1.1-1

  o The 'cluster' argument of flexmix() may now also be a matrix of 
    posterior probabilities.

  o Fixed a bug to make size table work in case of empty clusters.

  o Fixed a bug in likelihood computation for grouped observations.

  o The artificial NPreg data now also have a binomial response, 
    added example to help("flexmix").


Changes in flexmix version 1.1-0

  o The FLXglm driver now has an offset argument.

  o New data set seizure as example for a Poisson GLM
    with an offset.

  o fitted() can be used to extract fitted values from flexmix
    and FLXrefit objects.

  o New accessor methods cluster() and posterior().

  o The package now uses lazy loading and has a namespace.


Changes in flexmix version 1.0-0

  o The package has now an introductionary vignette which can be
    accessed using the command vignette("flexmix-intro"). The vignette
    has been published in the Journal of Statistical Software, Volume
    11, Issue 8 (www.jstatsoft.org), and the paper should be used as
    citation for flexmix, run citation("flexmix") in R 2.0.0 or newer
    for details.

  o Several typos in help pages have been fixed.
  
	
Changes in flexmix version 0.9-1

  o Adjust for R 2.0.0.

  o Fixed a bug in the summary and plot methods of flexmix objects in
    case of empty clusters.

  o stepFlexmix takes two new arguments: `compare' allows fo find
    minimum AIC/BIC solutions in addition to maximum likelihood,
    `verbose' gives some information about progress.

  o Use a default of verbose=0 in FLXcontrol (better in combination 
    with stepFlexmix). 

	
Changes in flexmix version 0.9-0

  o new summary() and plot() methods for flexmix objects

  o FLXglm objects can now be automatically refit()ted to get table of
    significance tests for coefficients

  o new function stepFlexmix() for more automated model search

  o the artificial example data now have functions to
    create them and a pre-stored data sets, new function plotEll() to
    plot 2d Gaussians with confidence ellipses.

  o new function KLdiv() to compute Kullback-Leibler divergence of
    components

  o the calculation of the degrees of freedom for FLXmclust was wrong


Changes in flexmix version 0.7-1

  o fixed some codoc problems (missing aliases)


First version released on CRAN: 0.7-0
