MIMOSA  1.4.1
=============
Fixed a bug in the EM fitting procedure that caused it to fail in some circumstances.
MCMC supports priors on weights other than beta(1,1). 

MIMOSA 0.99.4
=============
Compatibility with Rcpp 11.0

MIMOSA 0.99.2
=============
* Added unit tests
* Passing BiocCheck
* Remove dependency on `multicore`. Now `parallel` only.

MIMOSA 0.9.12
=============
* MIMOSA now returns a MIMOSAResultList S3 class.
  A lightweight wrapper for a list, with methods defined to extract the `fdr` and `pData`, `getW`, and `getZ` to extract the component weights and posterior probabilities, respectively.
* `print` for `MIMOSAResult` and `MIMOSAResultList`
* extractors for `countsTable`, the table of counts used to fit the model. Takes an argument to return the proportions or the counts.
* MIMOSA checks throws a more informative warning if the data is filtered into oblivion when not properly paired (e.g. when the user doesn't aggregate over replicate negative controls, for example. )
* `volcanoPlot` implemented for MIMOSAResultList 
* Cleaned up package warnings and notes.
* Cleaned up imports and depends.

MIMOSA 0.9.9
============
* Bug Fixes
** Filtered out empty categories on the conditioning variables.
** Support for parallel as well as multicore

* News
** multicore support (via the multicore package) will be phased out in favor of the parallel package.

MIMOSA 0.8.0
============
* Model fitting via the 'MIMOSA' function
* Data represented via an ExpressionSet
* Formula interface support
* Removed old code, including ICS class, and dependencies upon it.
* New documentation

MIMOSA 0.7.0
============
* First beta release of MIMOSA
* model fitting via MCMC through the .fitMCMC function

