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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

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Version

Install

install.packages('nsgp')

Monthly Downloads

7

Version

1.0.5

License

GPL-2

Maintainer

Markus Heinonen

Last Published

October 15th, 2014

Functions in nsgp (1.0.5)

gpr_posterior

GPR posterior
print.gpsimple

prints the gpsimple object
toygps

Toy time-series model for testing
print.gppack

prints the two-sample GP summary
gpr2sample

Performs two-sample GP regression
print.gp

prints the one-sample GP summary
summary.gppack

prints the two-sample GP summary
nsgp

Gaussian process regression and statistical testing
plot.gpsimple

Plot a simple gaussian process
toydata

Toy time-series data for testing, contains two time-series, case and control
plot.gp

Plot a gaussian process
gpr1sample

Perform one-sample GP regression
simulategp.perturbed

Generate simulated perturbed GP models
summary.gp

prints the one-sample GP summary
simulategp

Generate simulated GP models
plot.gppack

Plots several GP's simultaneously
summary.gpsimple

printss the gpsimple object
gpsimple

gpsimple object, a simple Gaussian Process container with fields