# -*- org -*-
#+TITLE: NEWS file for the pcaMethods package

* Version 1.29.1 
** Minor corrections
- Fixed mistake in slplot, now report the explained variance up to the highest chosen pc instead of the minimum. 
* Version 1.29.0 <2010-01-23 Sat> 
** CV 
Can now be done directly when calling pca and the result is saved withing the pcaRes object to make plotting easier. A new method plot.pcaRes replaces plotR2
** Migration to roxygen
The main event in this version is that pcaMethods is now completely documented with roxygen style comment fields. No more editing Rd files, wohoo!
** Migration to using getter methods
Should have been done to start with. Obvious advantages.
** Proper handling of pre-processing
the prep method has been shaped up and now handles various kind of pre-processing and also post-processing where so that fitted can actually deliver the final fitted data. 
*** Unification of pre-processing policies
All pca methods now only set scores, loadings and R2cum (all these may be computed slightly differently within the different methods) all other slots are handled by the pca wrapper method. This way, handling of pre-processing is guaranteed to be the same for all methods and makes for much cleaner code.
** Clean up
Major tidying act (still ongoing). Many methods were creating unnecessary copies of large matrices and used poor variable names. This has been amended.
* Version 1.27.2 <2010-01-05 Tue> 
- Krzanowski CV changed so to not try to estimate Q^2 for more
  PCs than possible.
* Version 1.27.0 <2010-01-02 Sat> 
- No warnings anymore when requesting SVD on matrix with missing
  values, silently switch to nipals.
- New C++ implementation of nipals, save old R-version to
  'rnipals' for reference.
- Dependence on package Rcpp which made C++ implementation
  much easier.
- Successive introduction of Roxygen style documentation
  (.Rd files  are generated from the comment sections)
- Successive introduction of using getter functions instead
  of '@'
- Remove redundant 'checkData' calls from *pca functions,
  it is called   from pca()
- Introduction of new X-validation approach which is
  applicable also for SVD.
* Version 1.24.0 <2008-10-27 Mon> 
- Improvements to slplot, bugfixes and a show method
* Version x.y.z <2008-02-27 Wed> 
- Replaced usage of exprSet class with ExpressionSet
* Version x.y.z <2007-04-10 Tue> 
- Added robustSVD, a SVD implementation robust to outliers
* Version x.y.z <2007-01-02 Tue> 
- Added a Non-linear PCA algorithm.
* Version x.y.z <2006-12-11 Mon> 
- kEstimate interface has changed. Instead of specifying a
  single value for the maximum number of pcs it is now possible
  to specify an array, e.g. c(3,5,7,9.20) or 3:7
* Version x.y.z <2006-12-11 Mon> 
- Added a cluster based imputation method called llsImpute.
  This is mainly thought for comparison with the other methods.
  kEstimate may also be used with llsImpute.
* Version 1.0.0 <2006-08-27 Sun> 
- This is the first revision of our pca package. Enjoy!
* Planned
** C++ Versions
of ppca and possibly bpca. Nlpca would be nice and would probably benefit most of being ported to C++..
*** ppca							    :STARTED:
using gsl but speed gain so far not so remarkable
** DONE Proper handling of scaling and centering
   CLOSED: [2010-01-22 Fri 11:15]
Current version is broken and need full rewrite
** DONE Add Q2 as a slot 
   CLOSED: [2010-01-22 Fri 11:15]
and a plotting function
