The Item Response Theory (IRT) library is a set of functions to estimate the items and abilities from the responses of subjects to a questionnaire. The IRT models supported are the logistic model, the nominal response model, the graded response model, and smoothing by penalization and kernel. The project also hosts rirt, a package for the R Project for Statistical Computing, and eirt, an add-in for Excel.
Meta.Numerics is a Mono-compatible .NET library for scientific and numerical programming. It includes functionality for matrix algebra (including SVD, non-symmetric eigensystems, and sparse matrices), special functions of real and complex numbers (including Bessel functions and the complex error function), statistics and data analysis (including PCA, logistic and nonlinear regression, statistical tests, and nonuniform random deviates), and signal processing (including arbitrary-length FFTs).
JOpt.ASP is a consistent advancement of JOpt.NET that exposes the unique JOpt vehicle routing capabilities via standard HTTP/SOAP interfaces. JOpt.ASP has been designed for enterprise applications and Web-based solutions that are based on ASP.NET. JOpt.ASP provides its optimization facilities through a stateful Web service that comes with a comfortable programming interface that is very similar to JOpt.NET.
MonteCarlito is a free Excel-add-in (Windows and OS X) to do Monte-Carlo-simulations. It features statistical analysis of simulation runs (mean, median, standard error, and skewness), histograms, direct output to an Excel spreadsheet, and a high-speed simulation mode with minimized windows.