bisque (version 1.0.2)

createLocScaleGrid: Create a centered and scaled sparse integration grid

Description

Enhances mvQuad::createNIGrid by shifting and scaling a sparse integration grid, and evaluating the weight function at each of the grid nodes.

Usage

createLocScaleGrid(
  mu = 0,
  prec = 1,
  level = 2,
  quadError = FALSE,
  prec.chol = chol(prec)
)

Arguments

mu

location at which grid should be centered

prec

"precision matrix" associated with the integration grid. When building a sparse integration grid for a density, prec is often the negative of the hessian at the mode.

level

accuracy level. This is typically number of grid points for the underlying 1D quadrature rule. [description from mvQuad::createNIGrid]

quadError

provide additional information about the grid points and integration weights for the quadrature rule with level-1. This information can facilitate approximating the quadrature error.

prec.chol

Upper-triangular Cholesky decomposition of precision matrix.

See Also

mvQuad::createNIGrid

Examples

# NOT RUN {
g = createLocScaleGrid(mu = c(1,0), prec = diag(c(1,.5)), level = 2 )

# }