Draco provides a simple interface for accessing many tools common to econometric analysis. Specifically, it is an open source pure-Java econometrics package for performing statistical analyses in a simple, sensible approach.
Draco provides many data manipulation and statistical analysis tools available in expensive commercial software.
Draco provides a familiar, yet powerful and intuitive, user interface to improve efficiency. The user interface of Draco is reminiscent to spreadsheet applications, presenting all data to the user for all stored variables.
- Full support of time series and cross-sectional panel data.
- Ordinary, Two-stage, Weighted, Logit, Probit, and Nonlinear Least Squares regressions.
- Nonlinear least squares regression has been modified to use the Apache Commons Math implementation of the MINPACK algorithm for quickly and accurately fitting arbitrary functions.
- Simple access to least-squares options, including accounting for autocorrelation using the Cochran-Orcutt method.
- Solution Matrix Conditioning.
- Iteration Controls.
- 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 language.
- Saves all documents in an SQLite database file.
- Output charts and plots to a variety of image formats including PNG, JPEG, and SVG.
- 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 programs.
- Simple interoperability with the system’s clipboard, including Paste with Interpolation, allowing for incoming data to be interpolated based on a selected variable.
- All mathematics are performed using the Linear Algebra Package (LAPACK).
- Powerful plugin system using JRuby.
- Extensive help facilities.
- Cross-platform support.
Approximatrix no longer officially provides support for Draco Econometrics.
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