Revision 1760c735f0b07763ab0c77ba5a77f61681e1c179 authored by Bettina Gruen on 22 November 2010, 00:00:00 UTC, committed by Gabor Csardi on 22 November 2010, 00:00:00 UTC
1 parent 4368edc
NEWS
Changes in flexmix version 2.2-11
o More generics and methods exported to use the refit method when
extending flexmix in other packages.
Changes in flexmix version 2.2-10
o For long formulas FLXMRglmfix() did not work properly due to the
splitting of the formula into several parts by deparse(). This is
fixed by pasting them together again. Thanks to Dustin Tingley for
the bug report.
Changes in flexmix version 2.2-9
o A new model driver FLXMRmgcv() is added which allows to fit
regularized linear models in the components.
o More generics and methods exported to allow extending flexmix in
other packages.
Changes in flexmix version 2.2-8
o The a-posteriori probabilities are now also determined as changed
for FLXfit() for version 2.2-6 for refit().
o Bug fixed for FLXfillconcomitant and refit when weights and
grouping are present. A check was added that weights are identical
within groups.
o Function group() is now exported.
hanges in flexmix version 2.2-7
o Bug in the FLXgetModelmatrix() method for the "FLXMRlmm" class
fixed when determining identical random effects covariates for the
grouping.
o A new model driver for finite mixtures of linear mixed effects
models with left-censored observations is added.
Changes in flexmix version 2.2-6
o Determination of the a-posteriori probabilities made numerically
more stable for small likelihoods. Thanks to Nicolas Picard for
the code patch.
o summary() for FLXMRmstep objects now returns similar output for
which = "concomitant" as for flexmix version 2.0-1.
o New demo driver FLXMCnorm1() for univariate Gaussian clustering.
o Non-postive values for the maximum number of iterations for the
"FLXcontrol" object are not valid. A validity check for this is
now included.
Changes in flexmix version 2.2-5
o Model class FLXMRfix introduced which is a subclass of FLXMR and a
superclass for FLXMRglmfix which also extends FLXMRglm.
o Model driver FLXMCfactanal added which allows to fit finite
mixtures of Gaussian distributions where the variance-covariance
matrix is estimated using factor analyzers.
o Comparison of formulas now done using identical().
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
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