XploRe features an extensive set of statistical methods incorporating current state-of-the-art modeling approaches, the so-called Quantlets, stored in Quantlibs, among others:

• basic descriptive statistics and data exploration
• generalized linear models and generalized partial linear models
• single index models and generalized additive models
• finance applications and time series analysis
• non- and semiparametric methods
• hazard regression (incl. survival trees)

It is very easy to add new methods programmed either in XploRe's matrix-oriented programming language or dynamically linking with common languages such as C++ or Fortran.

MD*ReX allows you to use these methods in your favourite spreadsheet application. Filter your data with Excel, compute the needed results with the XploRe Quantlet Server and visualize these results using the sophisticated Excel graphics features.

Have also a look at the online manual here.