**About:**
JProGraM (PRObabilistic GRAphical Models in Java) is a statistical machine learning library. It supports statistical modeling and data analysis along three main directions: (1) probabilistic graphical models (Bayesian networks, Markov random fields, dependency networks, hybrid random fields); (2) parametric, semiparametric, and nonparametric density estimation (Gaussian models, nonparanormal estimators, Parzen windows, Nadaraya-Watson estimator); (3) generative models for random networks (small-world, scale-free, exponential random graphs, Fiedler random graphs/fields), subgraph sampling algorithms (random walk, snowball, etc.), and spectral decomposition.

**Changes:**
JProGraM 13.2 -- CHANGE LOG

Release date: February 13, 2012

New features:
-- Support for Fiedler random graphs/random field models for large-scale networks (ninofreno.graph.fiedler package);
-- Various bugfixes and enhancements (especially in the ninofreno.graph and ninofreno.math package).