This table provides quick access to what's new in each version.
FSDA follows typical MATLAB timetable in the sense that there are two releases per year. The first typically in May/June and the second around October/November.
Version (Release)  New Features and Changes  Version Compatibility Considerations  Fixed Bugs and Known Problems  Release dates 

V2017b  FSDA
has introduced two new categories of tools, one for (robust)
time series analysis; another for analysing categorical data and
contingency tables. More precisely: (1) Function LTSts extends LTS estimator to time series. A related new graphical plot associated to a time series, wedgeplot, provides information on the presence of outliers and level shifts. (2) CorAna performs correpondence analysis; SparseTableTest computes independence test for large and sparse contingency tables; CressieRead computes the power divergence family of tests, used check the discrepancy/distance between observed and expected frequencies in a contingency table. rcontFS generates a random twoway table with given marginal totals. This group of functions is complemented by file examples_categorical.m as in style of FSDA. The two categories of functions will be progressively enriched. Other new functions which are included are boxtest (test of equality of covariance matrices used for example in tkmeans), GYfilt (Gervini and Yohai, univariate outlier identifier) and mmdrsplot (interactive plot of the trajectories of minimum Mahalanobis distances from different starting points).  
V2017a  CLUSTERING Function tclustreg now includes trimmed Cluster Weighted Restricted Models. New function tclustIC for the automatic
selection of the best number of groups. STATISTICAL UTILITIES New routines for density estimation and thinning, for univariate and bivariate data (used in tclustreg). bve, rthin, wthin, WNChygepdf UTILITIES Fnctions for monitoring traditional robust estimators for different
values of breakdown point or efficiency (mveeda, MMmulteda

Control version added in many graphical
routines to take account the modifications in MATLAB 2017a
From MATLAB R2012a callback functions started to use new internal data structures. Interactive plots that use such callbacks (e.g. those in GUI brushRES) may produce errors in releases older than R2012a. The issue should be now fixed. Please report to us any problem you may experience. 
May 2017  
V3.3 (R2016b)  New functions for bivariate density
estimation and random thinning (kdebiv.m, rthin.m) used to extend tclustreg.m features. The FSDA help folder now contains XML files associated to the functions documentation. This is in view of generating/updating automatically or using a GUI the functions documentation, in html as well as in the function head. New html documentation generated with publishFS. 
We are monitoring possible
compatibility issues that may emerge from changes in the tagging
policy of the graphical objects in MATLAB. 
add2spm modified to take into account a
change in the property name of the legend object introduced in MATLAB
R2016b (LegendPeerHandle is now called LayoutPeers). A change in MATLAB R2016b function legend.m was affecting FSDA function add2yX (the legend was plotted twice). Bug fixed. Bug affecting FSMeda only in the univariate case fixed. 
October 2016 
V3.2 (R2016a)  Major release. New function, publishFS, introduced to generate documentation pages directly from the .m files. New function, makecontentsfileFS, introduced to create a the list of files present in a FSDA folder and/or subfolders. It extends MATLAB function makecontentfilesFS. .mlx files introduced for examples_multivariate and examples_regression. New features added to the tclust function, including determinant restriction and new adjusted BIC criterion for the estimation of the number of groups. Added functions for reweighting FSR and FSRB (FSRr and FSRBr). Functions FSR, FSRB and FSRH redesigned; a routing implementing the core of the Forward Search algorithm (FSRcore) introduced to avoid code redundancies. New function, winsor, to winsor data. New function FSMbsb, which will replace FSMbbm. New function randindexFS, to evaluate the quality of different clusterings. New routines poolClose and poolPrepare introduced to conveniently open and close a pool of parallel workers. Several new robust functions to generate, for example, the Tukey Biweigh rho function (HUrho), the tuning constant associated to a certain efficiency (HUeff), the psi functions (HUpsi), its derivative (HUpsider), etc. For a full list, see functions under utilities_stats folder. 
Documentation made compatible with the
new MATLAB help navigation and browserstyle, which was redesigned in
release R2015b. 
Many small bugs fixed. Functions
affected include tclust, tclustReg, position, MixSimReg. ClickableMultiLegend made compatible with R2016a. drawnow command introduced in several graphical functions, to solve episodic bugs in the generation of the plots. 
May 2016 
V3.1 (R2015b) 
Major release.
Function simdataset.m modified to allow the user to simulate outliers from different distributions and contamination schemes and/or contaminate existing datasets. New Bayesian regression analysis routines: FSRB.m, FSRBeda.m, FSRBmdr.m, regressB.m. In FSReda.m: monitoring of confidence intervals of beta and sigma2. In FSRBeda.m: monitoring of HPD (highest posterior density regions) of beta and sigma2. New functions for inverse gamma computation: inversegampdf.m, inversegamcdf.m, inversegaminv.m. Added functions to monitor units forming subset in heterosckedastic and Bayesian regression: FSRHbsb.m, FSRBbsb.m. Added new datasets for Bayesian examples. FSMtra.m: added option for the robust transformation in the YeoJohnson family. addFSDA2path.m: modified for compatibility with unix platforms and to address changes in the folder organization of FSDA functions. Added routines to compute and visualize robust bivariate boxplot (function boxplotb.m) New routine for automatic outlier detection in heteroskdastic regression (FSRH.m) 
In function spmplot, the multiple histograms (boxplots) on the main
diagonal of the scatter plot matrix is now working also with R2015a and
R2015b.
The html documentation pages of some new functions are missing. As a consequence, some links may be broken. New complete documentation, produced automatically from the documentation in the head of our mfiles, will be released soon. 
September 2015  
V3.0 (R2015a) 
Major release.
Added robust regression (tau) and multivariate estimators
(StahelDonoho). Functions taureg.m and SDest.m. New weight functions
(hyperbolic, Hampel and optimal). 
Documentation made compatible with the new help system introduced with MATLAB R2015a 
In function spmplot, the multiple histograms (boxplots) on the main diagonal of the scatter plot matrix do not work with R2015a because of recent changes in gplotmatrix. 
February 2015

V2.1 (R2013a) 
New very fast implementation
of the Forward Search for multivariate analysis (FSMmmd). Forward Search in regression modified
to deal with the cases in which in a particular step of the search
subset is not full rank (FSR and FSRmdr). New scatter plot matrix with multiple
groups and multiple boxplots on the main diagonal (spmplot). 
Structure modified for compatibility with MATLAB R2012b to R2013a releases. Three APPs introduced in release R2013a. 

May 2013

V2.0 (R2011b) 
Major release. Traditional
robust estimators added including S, MM, MCD, MVE, (Sreg, Smult, MMreg, MMmult, mcd, mve) and univariate and
bivariate analysis (unibiv). New interactive
plots and interactive graphics features. 
Redesigned the definition of many optional input parameters in terms of structures 

September 2011

V1.1 (R2010b) 
Multivariate data analysis
routines have been added. Function resfwdplot considerably improved. 


September 2010

V1.0 (R2010a) 
 
A few functions use ~ to denote unused output parameters as from release 2009b 

February 2010
