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README.md
In nsgp: Non-Stationary Gaussian Process Regression
The 'nsgp' R package for one-sample and two-sample Gaussian Process regression (GPR)
- supports non-stationary and stationary Gaussian kernels
- supports dynamic noise from replicates
- advanced plotting
- differential detection methods:
- posterior concentration test
- expected MLL test
Try the nsgp package in your browser
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nsgp documentation built on May 2, 2019, 9:19 a.m.
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The 'nsgp' R package for one-sample and two-sample Gaussian Process regression (GPR) - supports non-stationary and stationary Gaussian kernels - supports dynamic noise from replicates - advanced plotting - differential detection methods: - posterior concentration test - expected MLL test
Try the nsgp package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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