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2 projects in result set.
0. The Degrees of Freedom of PLS - The package provides Degrees of Freedom of Partial Least Squares. Model selection based on information criteria can be performed.
Krämer & Braun (2007) Kernelizing PLS, Degrees of Freedom, and Efficient Model Selection, ICML-07, 441 - 448 |
- Development Status : 1 - Planning [Filter]
- Environment : Other Environment [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent (Now Filtering)
- Programming Language : R [Filter]
- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Multivariate Statistics : Projection Methods [Filter]
- Topic : Regression Models (Now Filtering)
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Registered: 2009-10-08 14:16 |
1. Bayesian spatial regression - Bayesian spatial regression (spdep2) is a package to complement existing model fitting functions in spdep, based on re-implementing MCMC techniques due to LeSage and Pace |
- Development Status : 3 - Alpha [Filter]
- Environment : Other Environment [Filter]
- Intended Audience : Developers [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent (Now Filtering)
- Programming Language : C/C\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Regression Models (Now Filtering)
- Topic : Spatial Data & Statistics : Disease Mapping and Areal Data Analysis [Filter]
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Registered: 2009-02-03 07:30 |