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 Topic > Optimization
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7 projects in result set.
0. Optimization and solving packages - OPTIMIZER contains experimental and development versions of R optimization packages, esp. unconstrained or box constrained problems and utilities for testing of functions, evaluating proposed solutions, and improved optimization interfaces.
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Registered: 2009-04-07 21:04 |
1. dcr - Data Cloning in R - Data cloning (DC) uses Bayesian MCMC to make maximum likelihood inference of complex hierarchical models. The bundle includes basic infrastructure for DC with parallel computing support, and more specialized packages for ecology.
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- Topic : Bayesian Statistics [Filter]
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2009-08-17 16:25 |
2. Clustering using convex fusion penalties - An R/C++ implementation of the clusterpath algorithm described in Hocking et al. 2011, for robust convex clustering using sparsity-inducing fusion penalties.
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- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
- Topic : Optimization [Filter]
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Registered: 2011-05-09 12:56 |
3. changepoints: Changepoint Analysis Tools - Unified infrastracture for changepoint analysis for different types of parametric models employing different segmentation strategies (binary, recursive binary, dynamic programming, PELT, etc.)
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- Topic : Econometrics : Structural Change [Filter]
- Topic : Finance : Time Series [Filter]
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Registered: 2012-03-27 21:23 |
4. NMF - Nonnegative Matrix Factorization - This package provides a flexible framework to perform Non-negative Matrix Factorization (NMF).
It implements a set of already published algorithms and seeding methods, and provides a framework
to test, develop and plug new/custom algorithms.
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- Topic : Bioinformatics [Filter]
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Registered: 2010-01-07 14:13 |
5. maxLik: Maximum Likelihood Estimation - Tools for Maximum Likelihood Estimation
THE DEVELOPMENT OF THE maxLik PACKAGE HAS BEEN MOVED to GitHub:
https://github.com/arne-henningsen/maxLik
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Registered: 2008-09-18 13:24 |
6. Markov decision processes (MDPs) in R - Create and optimize MDPs with discrete time steps and state space. Both normal MDPs and hierarchical MDPs can be considered.
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Registered: 2009-06-08 12:06 |
