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kergp (version 0.5.7)

Gaussian Process Laboratory

Description

Gaussian process regression with an emphasis on kernels. Quantitative and qualitative inputs are accepted. Some pre-defined kernels are available, such as radial or tensor-sum for quantitative inputs, and compound symmetry, low rank, group kernel for qualitative inputs. The user can define new kernels and composite kernels through a formula mechanism. Useful methods include parameter estimation by maximum likelihood, simulation, prediction and leave-one-out validation.

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Version

Install

install.packages('kergp')

Monthly Downloads

441

Version

0.5.7

License

GPL-3

Last Published

February 5th, 2024

Functions in kergp (0.5.7)

mle

Generic Function: Maximum Likelihood Estimation of a Gaussian Process Model
as.list, covTP-method

Coerce a covTP Object into a List
coef-methods

Extract Coefficients of a Covariance Kernel Object as Vector, List or Matrix
checkGrad

Check the Gradient Provided in a covMan Object
coefLower

Extract or Set Lower/Upper Bounds on Coefficients
coef<-

Generic Function: Replacement of Coefficient Values
checkPar

Check Length and Names of a Vector of Values for Parameters or Bounds
checkX

Generic function: Check the Compatibility of a Design Matrix with a Given Covariance Object
checkX-methods

Check the Compatibility of a Design with a Given Covariance Object
mle-methods

Maximum Likelihood Estimation of Gaussian Process Model Parameters
corLevCompSymm

Correlation Matrix for the Compound Symmetry Structure
covComp-class

Class "covComp"
covANOVA

Creator for the Class "covANOVA"
corLevSymm

Correlation Matrix for a General Symmetric Correlation Structure
contr.helmod

Modified Helmert Contrast Matrix
corLevDiag

Correlation or Covariance Matrix for a Diagonal Structure
corLevLowRank

Correlation Matrix for a Low-Rank Structure
covComp

Creator for the Class "covComp" for Composite Covariance Kernels
covAll-class

Virtual Class "covAll"
covANOVA-class

Class "covANOVA"
covMan

Creator Function for covMan Objects
covOrd

Warping-Based Covariance for an Ordinal Input
covMan-class

Class "covMan"
covMat

Generic Function: Covariance or Cross-Covariance Matrix Between two Sets of Locations
covQual-class

Class "covQual"
covMat-methods

Covariance Matrix for a Covariance Kernel Object
covQualNested

Nested Qualitative Covariance
covRadial-class

Class "covRadial"
covQualNested-class

Class "covQualNested"
covOrd-class

Class "covOrd"
hasGrad

Generic Function: Extract slot hasGrad of a Covariance Kernel
covTP

Creator for the Class "covTP"
gls

Generic Function: Generalized Least Squares Estimation with a Given Covariance Kernel
gp

Gaussian Process Model
gls-methods

Generalized Least Squares Estimation with a Given Covariance Kernel
covTP-class

Class "covTP"
covRadial

Creator for the Class "covRadial"
covTS

Creator Function for covTS Objects
covTS-class

Class "covTS"
influence.gp

Diagnostics for a Gaussian Process Model, Based on Leave-One-Out
kernelName

Name of the One-Dimensional Kernel in a Composite Kernel Object
k1Matern3_2

One-Dimensional Classical Covariance Kernel Functions
k1Exp

Predefined covMan Objects for 1D Kernels
inputNames

Generic Function: Names of the Inputs of a Covariance Kernel
kMatern

Matérn Kernels
optimMethods

Optimization Methods (or Algorithms) for the mle Method
npar

Generic function: Number of Free Parameters in a Covariance Kernel
npar-methods

Number of Parameters for a Covariance Kernel Object
kGauss

Gauss (Squared-Exponential) Kernel
kergp-package

Gaussian Process Laboratory
parseCovFormula

Parse a Formula or Expression Describing a Composite Covariance Kernel
parNamesSymm

Vector of Names for the General 'Symm' Parameterisation
parMap-methods

Map the Parameters of a Structure on the Inputs and Kernel Parameters
q1CompSymm

Qualitative Correlation or Covariance Kernel with one Input and Compound Symmetric Correlation
prinKrige

Principal Kriging Functions
plot

Plot for a qualitative input
predict.gp

Prediction Method for the "gp" S3 Class
parMap

Generic Function: Map the Parameters of a Composite Covariance Kernel
plot.simulate.gp

Plot Simulations from a gp Object
q1Diag

Qualitative Correlation or Covariance Kernel with one Input and Diagonal Structure
simulPar

Generic function: Draw Random Values for the Parameters of a Covariance Kernel
plot.gp

Diagnostic Plot for the Validation of a gp Object
q1LowRank

Qualitative Correlation or Covariance Kernel with one Input and Low-Rank Correlation
translude

Make Translucent colors
scores

Generic Function: Scores for a Covariance Kernel Object
q1Symm

Qualitative Correlation or Covariance Kernel with one Input and General Symmetric Correlation
varVec

Generic Function: Variance of Gaussian Process at Specific Locations
warpNorm

Warpings for Ordinal Inputs
shapeSlot

Extracts the Slots of a Structure
simulate.gp

Simulation of Paths from a gp Object
symIndices

Vector of Indices Useful for Symmetric or Anti-Symmetric Matrices.
simulPar,covAll-method

Draw Random Values for the Parameters of a Covariance Kernel
simulate, covAll-method

Simulation of a covAll Object
varVec-methods

Covariance Matrix for a Covariance Kernel Object