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9 projects in result set.
0. 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 |
1. 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]
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Registered: 2012-03-27 21:23 |
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]
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Registered: 2011-05-09 12:56 |
3. 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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Registered: 2010-01-07 14:13 |
4. 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 : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2009-08-17 16:25 |
5. R package for Non Smooth Optimization - An R package for non smooth optimization, with implementation of several algorithms including HANSO, SIDPSM etc.
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Registered: 2013-05-28 18:22 |
6. Optimal Two-stage Phase II Design - This R package creates the optimal two-stage phase II designs with long-term endpoint.
A later expanded version of the package (OptInterim) can be downloaded on CRAN
http://cran.r-project.org/web/packages/OptInterim/index.html
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- Topic : Biostatistics & Medical Statistics [Filter]
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Registered: 2008-12-14 01:13 |
7. Forecasting with Artificial Intelligence - The package ForAI uses machine learning methods such as artificial neural networks, support vector regression, extreme learning machines, and evolutionary algorithms for forecasting and prediction.
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Registered: 2012-01-22 07:45 |
8. 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 |
