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3 projects in result set.

0. DREAM: global adaptive MCMC - DiffeRential Evolution Adaptive Metropolis (DREAM). Efficient global MCMC even in high-dimensional spaces. Developed by J.A. Vrugt, C.J.F. ter Braak et al.

Development Status : 4 - Beta [Filter]
Environment : Console (Text Based) (Now Filtering)
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved [Filter]
Operating System : OS Independent [Filter]
Programming Language : R (Now Filtering)
Topic : Bayesian Statistics : General Model Fitting [Filter]
Topic : Machine Learning : Bayesian Methods [Filter]
Topic : Optimization : General Purpose Continuous Solvers [Filter]

Activity Percentile: 0.00

Registered: 2009-09-22 05:35

1. sensitivity - A collection of functions for factor screening and global sensitivity analysis of model output.

Development Status : 5 - Production/Stable [Filter]
Environment : Console (Text Based) (Now Filtering)
Intended Audience : Developers [Filter]
License : OSI Approved [Filter]
Natural Language : English [Filter]
Operating System : OS Independent [Filter]
Programming Language : C/C\+\+ [Filter]
Programming Language : R (Now Filtering)
Topic : Multivariate Statistics [Filter]
Topic : Regression Models [Filter]

Activity Percentile: 0.00

Registered: 2008-07-15 09:49

2. Thresher - Thresher is a comprehensive, statistical approach to class discovery combining PCA with hierarchical clustering. It can (1) identify outliers, (2) estimate the number of subgroups, and (3) automate the selection of metrics and linkage rules.
Development Status : 5 - Production/Stable [Filter] Environment : Console (Text Based) (Now Filtering) Intended Audience : End Users/Desktop [Filter] License : OSI Approved [Filter] Natural Language : English [Filter] Programming Language : R (Now Filtering) Topic : Cluster Analysis : Model-based Clustering [Filter] Topic : Cluster Analysis : Other Cluster Algorithms [Filter]	Activity Percentile: 0.00 Registered: 2014-05-08 14:18