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.
Gridder is a suite of portlets designed to enable users to submit jobs in a grid environment. It comes with a full manual and includes documentation produced during development, which addresses topics related to grid and cluster setup and configuration. It seamlessly integrates with OGCE, as it was the focus during the whole development process. The portlets are designed to simplify job submission tasks with end-user friendliness in mind, and a well-defined separation of concerns from the user point of view (tasks and jobs) and from the technical point of view (the architecture and design).
The Units Conversion Library provides a facility for converting from a variety of scientific and engineering shorthand notations into floating point numbers. This allows application developers to easily convert value strings like "9.2 meters/second" and "20 miles/hour" into uniformly scaled floating point numbers. The library is implemented in both Tcl and C, and supporting other scripting languages should be straightforward.
KGameOfLife is an application that simulates the classical Game of Life. It consists of a collection of cells which, based on a few mathematical rules, can live, die, or multiply. Depending on the initial conditions, the cells form various patterns throughout the course of the game.
gfit analyzes data using models. gfit lets the user create a model for virtually any type of system using a minimal amount of computer code. It is particularly useful for studying various systems in biophysics, biochemistry, and cell biology. The interface for gfit models specifies relationships between input and output variables in a rule-based fashion. It provides flexibility and allows the user to reuse same models for many related problems.