Generic Function: Maximum Likelihood Estimation of a Gaussian Process
Model
Coerce a covTP
Object into a List
Extract Coefficients of a Covariance Kernel Object as Vector, List or
Matrix
Check the Gradient Provided in a covMan
Object
Extract or Set Lower/Upper Bounds on Coefficients
Generic Function: Replacement of Coefficient Values
Check Length and Names of a Vector of Values for Parameters or
Bounds
Generic function: Check the Compatibility of a Design Matrix with a
Given Covariance Object
Check the Compatibility of a Design with a Given
Covariance Object
Maximum Likelihood Estimation of Gaussian Process Model Parameters
Correlation Matrix for the Compound Symmetry Structure
Class "covComp"
Creator for the Class "covANOVA"
Correlation Matrix for a General Symmetric Correlation Structure
Modified Helmert Contrast Matrix
Correlation or Covariance Matrix for a Diagonal Structure
Correlation Matrix for a Low-Rank Structure
Creator for the Class "covComp"
for Composite Covariance
Kernels
Virtual Class "covAll"
Class "covANOVA"
Creator Function for covMan
Objects
Warping-Based Covariance for an Ordinal Input
Class "covMan"
Generic Function: Covariance or Cross-Covariance
Matrix Between two Sets of Locations
Class "covQual"
Covariance Matrix for a Covariance Kernel Object
Nested Qualitative Covariance
Class "covRadial"
Class "covQualNested"
Class "covOrd"
Generic Function: Extract slot hasGrad of a Covariance Kernel
Creator for the Class "covTP"
Generic Function: Generalized Least Squares Estimation
with a Given Covariance Kernel
Gaussian Process Model
Generalized Least Squares Estimation with a Given Covariance Kernel
Class "covTP"
Creator for the Class "covRadial"
Creator Function for covTS
Objects
Class "covTS"
Diagnostics for a Gaussian Process Model, Based on Leave-One-Out
Name of the One-Dimensional Kernel in a Composite Kernel Object
One-Dimensional Classical Covariance Kernel Functions
Predefined covMan Objects for 1D Kernels
Generic Function: Names of the Inputs of a Covariance Kernel
Matérn Kernels
Optimization Methods (or Algorithms) for the mle
Method
Generic function: Number of Free Parameters in a Covariance Kernel
Number of Parameters for a Covariance Kernel Object
Gauss (Squared-Exponential) Kernel
Gaussian Process Laboratory
Parse a Formula or Expression Describing a Composite
Covariance Kernel
Vector of Names for the General 'Symm' Parameterisation
Map the Parameters of a Structure on the Inputs and Kernel Parameters
Qualitative Correlation or Covariance Kernel with one Input and
Compound Symmetric Correlation
Principal Kriging Functions
Plot for a qualitative input
Prediction Method for the "gp"
S3 Class
Generic Function: Map the Parameters of a Composite Covariance
Kernel
Plot Simulations from a gp
Object
Qualitative Correlation or Covariance Kernel with one Input and
Diagonal Structure
Generic function: Draw Random Values for the Parameters of a
Covariance Kernel
Diagnostic Plot for the Validation of a gp
Object
Qualitative Correlation or Covariance Kernel with one Input and
Low-Rank Correlation
Make Translucent colors
Generic Function: Scores for a Covariance Kernel Object
Qualitative Correlation or Covariance Kernel with one Input
and General Symmetric Correlation
Generic Function: Variance of Gaussian Process at Specific Locations
Warpings for Ordinal Inputs
Extracts the Slots of a Structure
Simulation of Paths from a gp
Object
Vector of Indices Useful for Symmetric or Anti-Symmetric Matrices.
Draw Random Values for the Parameters of a Covariance Kernel
Simulation of a covAll
Object
Covariance Matrix for a Covariance Kernel Object