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• Hudap Package is a data analysis software which contains data analysis techniques. Our methods are essentially intrinsic, namely, the data is treated in terms of internal inequalities without need for an explicit model.
• Hudap contains some descriptive statistics as frequencies and cross tabulations. It allows the recoding of defined variables. The same analysis can be processed on several sub groups.
• Hudap has a Data Grid as its main window. This is a spreadsheet-like object for entering, editing and displaying data. The data can be imported from fixed format text files or delimited (tab, comma or space) text files. Moreover, data can be pasted from other Windows applications as SPSS, Excel or Word. The system has a graphical environment with menus and self-explanatory dialog boxes. Most tasks can be accomplished in this environment. However, the user can submit a script in Hudap language (syntax) to process more advanced analyses.
• An on-line help provides a detailed documentation on each module with examples. The mathematics of the methods is also available.
• For the relevant modules two and three-dimensional graphic representation of space configurations can be displayed. Power tools for editing the graphics are available.
• HUDAP has been purchased by more than 50 academic institutions worldwide.

The main modules in the package are:

• MONCO: Weak Monotonicity Coefficients (correlations). A weak monotonicity coefficient is especially appropriate in condition where marginal distributions differ from item to item, as is the case in most research studies.
• WSSA1: Smallest Space Analysis (better called Similarity structural Analysis). This is a practical technique for aiding comprehension of the structure of interrelationships among variables. The analysis may be regarded as being essentially geometric.
• WSSA1 with Facets: There is an option to superimpose facet elements for each variable, and produce facet diagrams. This option facilitates viewing regional correspondence between the empirical distribution of the variables and their faceted definition.
• POSAC: Partial Order Scalogram Analysis with base Coordinates. While SSA deals with space of variables, POSAC deals with space of subjects.
  The complete POSAC output provides a two-dimensional representation of the partial order of the set of profiles.
• MPOSAC: POSAC was technically limited to two dimensions, until recently when a new algorithm allowed for processing POSAC in any dimensionality. The related computer module is termed MPOSAC, namely Multidimensional POSAC.
• DISCO: Discrimination Coefficient (Effective ANOVA).
  When two or more populations have distributions on the same numerical variable x, it is of interest to know to what extent these distributions overlap. One motivation for this interest is the problem of discriminant analysis.
  
• MSA1: Multidimensional Structuple Analysis. MSA1 deals with population of subjects which are defined by profiles (strutuples) on n different items.

The price of the package for a single copy is US $350

The price for a site license is:

• 10 Users - $ 1,750
• 20 Users - $ 3,150
• 30 Users - $ 4,250
• 40 Users - $ 5,100
• 50 Users - $ 5,740
• 60 Users - $ 6,200
• 70 Users and above - $ 6,510

The upgrade price of the package for a single copy is US $150

The upgrade price for a site license is: