Low Rank Gaussian Process Regression: Project Home – R-Forge
Project description
Fit a Low Rank Gaussian Process Regression / Linear Mixed Model for large datasets. These models are widely used in statistical genetics as a test of association while correcting for the confounding effects of kinship and population structure.
Project Information
- Environment : Console (Text Based)
- License : OSI Approved : GNU General Public License (GPL)
- Natural Language : English
- Operating System : MacOS
- Operating System : POSIX : Linux
- Programming Language : C/C++
- Programming Language : R
- Topic : Bioinformatics : Statistics
- Topic : Genetics
Activity Ranking: 0
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