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2 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 (Now Filtering)
Environment : Console (Text Based) (Now Filtering)
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License : OSI Approved [Filter]
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Programming Language : R [Filter]
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. vcf2geno: reading VCF made easy - Efficiently Read Variant Call Format (VCF) into R

Development Status : 4 - Beta (Now Filtering)
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Natural Language : English [Filter]
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Topic : Bioinformatics [Filter]
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Registered: 2012-08-22 01:29