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Draco description
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An open-source econometric solution
Draco provides functionality available in popular statistics packages without high purchasing and licensing costs. Draco presents a familiar, yet powerful, user interface to improve efficiency.
The user interface of Draco is similar to spreadsheet applications, presenting all data to the user for all stored variables. All functionality is accessed via the modern interface. Data can quickly be visualized thanks to the Approximatrix Openchart2 plotting library.
Take Draco for a spin to see what it's really capable of! Here are some key features of "Draco":
Data Analysis:
· Full support of time series and cross-sectional panel data
· Ordinary, Two-stage, Weighted, Logit, Probit, and Nonlinear Least Squares regressions
· Simple access to least-squares options, including accounting for autocorrelation using the Cochran-Orcutt method
· Standard statistics of variables including mean, variances, etc.
· One-Factor Analysis of Variance (ANOVA)
· Creation of new variables based on complex equations using the JRuby langauge
Data Presentation:
· Data is viewed in Draco in spreadsheet form by default, making all data presentable to the user.
· Draco also provides powerful graphing abilities using the Openchart2 library.
Interoperability:
· Draco saves all documents in an SQLite database file that can be opened and modified by any SQLite-capable software.
· Furthermore, Draco can save and load the OpenDocument spreadsheet format, compatible with the OpenOffice.org 2.0 productivity suite.
Draco also provides the following:
· Importing of text data, including time series, via a user-friendly interface
· Automatic date parsing from text files during import for the quick creation of time-series data
· Export to simple comma-delimited format, compatible with most any program
· Simple interoperability with the system's clipboard, including Paste with Interpolation, allowing for incoming data to be interpolated based on a selected variable.
· Standard Engine
· All mathematics are performed using the Linear Algebra Package (LAPACK), ensuring calculations are fast an accurate. Draco makes use of the jLAPACK implementation, ensuring maximum program portability and consistency across platforms.
Plugins:
· Draco incorporates a powerful plugin system using JRuby, a pure-Java implementation of the Ruby language. JRuby provides a standard environment to author custom regression and analysis plugins that integrate seamlessly with Draco.
· Furthermore, JRuby offers the benefit of Just-in-Time compilation of plugin scripts, meaning plugins in Draco run nearly as fast as the pure-Java implementations.
· Approximatrix has incorporated JLMatrix, an extension to JRuby that implements critical matrix functions using jLAPACK.
Portability:
· Draco runs on any system featuring an up-to-date Java implementation (Java 1.5 or higher).
Documentation:
· The program includes extensive help facilities through its online help system.
Requirements:
· 1.0GHz processor or higher
· 512MB RAM
· 30MB Hard Drive Space
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