Non-Stationary Gaussian Process Regression

A Gaussian process regression using a Gaussian kernel for both one-sample and two-sample cases. Includes non-stationary Gaussian kernel (exponential decay function) and several likelihood ratio tests for differential testing along target points.


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

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Reference manual

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install.packages("nsgp")

1.0.5 by Markus Heinonen, 4 years ago


http://amis-group.fr/software/nsgp


Browse source code at https://github.com/cran/nsgp


Authors: Markus Heinonen


Documentation:   PDF Manual  


GPL-2 license


Imports MASS


See at CRAN