PNL - Browse /PnlForR at SourceForge.net

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	InfoDownloads / Week
Parent folder
PNLRPackage_Release_1_0	2005-08-29	0
PNLRPackage	2005-06-30	0
Totals: 2 Items		0

Other Useful Business Software

Demo Series - Small Business Backup By Veeam

Learn how to protect your Microsoft 365 data, with simple, actionable tips today.

Watch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.

Watch Demo Series

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

Recommended Projects

Bayesian Network Tools in Java (BNJ)
Java/XML toolkit for research using Bayesian networks and other graphical models of probability (exact and approximate inference, structure learning, etc.)
PyMC
Bayesian Modeling and Probabilistic Programming in Python
RAGE (Random Variate Generator)+Library
RAGE (Random Variate Generator) is a graphical tool for unidimensional discrete distributions. RAGE generates random values and simulates various discrete distributions by using different algorithms.
JProGraM
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 fields), subgraph sampling algorithms (random walk, snowball, etc.), and spectral decomposition.
General Hidden Markov Model Library
The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.

PNL Files