Statistics-MVA-BayesianDiscrimination version 0.0.1 Discriminant analysis is a procedure for classifying a set of observations each with k variables into predefined classes such as to allow the determination of the class of new observations based upon the values of the k variables for these new observations. Group membership based on linear combinations of the variables. From the set of observations where group membership is know the procedure constructs a set of linear functions, termed discriminant functions, such that: L = b_1 * x1 + b_2 * x2 +... ... + b_n * x_n - c Where c is a constant, b's are discriminant coefficients and x's are the input variables. These discriminant functions (there is one for each group - consequently as this module only analyses data for two groups atm it generates two such discriminant functions. Before proceding with the analysis you should: (1) Perform BartlettĀ“s test to see if the covariance matrices of the data are homogenous for the populations used (see L. If they are not homogenous you should use Quadratic Discrimination analysis. (2) test for equality of the group means using Hotelling's T^2 (see L or MANOVA. If the groups do not differ significantly it is extremely unlikely that discrimination analysis with generate any usefull discrimination rules. (3) Specify the prior probabilities. This module allows you to do this in several ways - see L. This class automatically generates the discrimination coefficients at part of object construction. You can then either use the C method to access these values or use the C method to apply the equations to a new observation. Both of these methods are context dependent - see . See http://en.wikipedia.org/wiki/Linear_discriminant_analysis for further details. INSTALLATION To install this module, run the following commands: perl Makefile.PL make make test make install Alternatively, to install with Module::Build, you can use the following commands: perl Build.PL ./Build ./Build test ./Build install DEPENDENCIES 'Statistics::MVA' => '0.0.1', 'Carp' => '1.08', 'Math::Cephes' => '0.47', 'List::Util' => '1.19', COPYRIGHT AND LICENCE Copyright (C) 2010, Daniel S. T. Hughes This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself.