MATLAB is an interactive software program for matrix programming and
visualisation. It is used by many statisticians but it is more closely
associated with the numerical analysis community.
Matlab has a very strong support community as evidenced by the following
portals for Matlab resources.
- Mathworks Downloads.
This includes both user-contributed software and Matlab patches and so on.
- Mathtools.net. Technical computing
portal including Matlab resources.
- Matlinks.net. A site dedicated to
collecting, evaluating and distributing toolboxes for Matlab and GNU Octave.
Associated with Octave and free software foundation. Julian de Marchi.
- ODP: Science:
Math: Software: MATLAB. The Open Directory Project entry for Matlab
edited by Matthew Simoneau.
Links and resources, both commercial and freeware, for Matlab. e-Notebooks.
The following are all freely available toolboxes for statistical applications in Matlab.
More toolboxes for general applications can be found from the portals above.
- ARfit. A package for
the estimation and spectral decomposition of multivariate autoregressive models. Arnold
Neumaier, Universitaet Wien.
- Cluster Analysis. Frank
Dellaert, Carnegie-Mellon University.
- Data Visualization
Toolbox. Implements the analytical and graphical methods presented in
William S. Cleveland's book Visualizing Data. Datatool.com.
- Econometrics Toolbox. A
substantial toolbox with a 350 page manual. James LeSage.
- Expokit. A package to compute matrix
exponentials. Code in Fortran and MATLAB by Roger Sidje, University of Queensland.
- GLMLab. A set of
interactive matlab routines for fitting generalised linear models. Peter Dunn, University
of Southern Queensland.
- Rice Wavelet Toolbox. Digital Signal
Processing Group, Rice University.
- Spatial Statistics Toolbox.
Tools for specifying spatial dependencies and estimating spatial
autoregressions via maximum likelihood. R. Kelley Pace, Louisiana State
- StatBox. A general statistics toolbox. Includes
ordinal regression, frequency estimation and integration as well as probability
distributions. Gordon Smyth, Walter and Eliza Hall Institute of Medical Research.
- Stixbox. A statistics toolbox.
Anders Holtsberg, Lund University.
- WAT: Wave Analysis
Toolbox. Empirical and theoretical analysis of cycles, waves, and other extremal
characteristics in Gaussian and non-Gaussian stochastic processes. Georg Lindgren and Igor
Rychlik, Lund University.
- WaveLab. Wavelet toolbox. Jonathan
Buckheit, Shaobing Chen, David Donoho, Iain Johnstone, Stanford University, and Jeffrey
- WAFO. Wave Analysis
for Fatigue and Oceanography. Statistical analysis and simulation of random
waves and random loads. Mathematical Statistics, Lund University.