bvec: Function to compute m by 1 column vector I (independent and...

In vicvolodina93/linkedEmulation: Compute mean and variance of the linked emulator

Function to compute m by 1 column vector I (independent and dependent cases) of integrated emulator with squared exponential kernel.

Description

Function to compute m by 1 column vector I (independent and dependent cases) of integrated emulator with squared exponential kernel.

Usage

bvec(
  w,
  z = NULL,
  mu,
  Sigma,
  z_design = NULL,
  params,
  ind = "TRUE",
  det_comp = NULL,
  LS.inv = NULL
)

Arguments

w	an m (number of design points) by d (dimensions) matrix of design points.
z	a vector of length d1 of exogenous inputs.
mu	a vector of predictive mean values of length k.
Sigma	a variance-covariance matrix.
z_design	a design matrix of exogenous inputs.
params	a list with parameter values.
ind	logical argument indicating if we adopt independence assumption.
det_comp	a determinant component in the calculations.
LS.inv	an inverse of the sum of covariance matrix and Lambda.

Value

a vector of covariances between input of interest and design point.

vicvolodina93/linkedEmulation documentation built on July 7, 2022, 1:25 a.m.