nimbleSCR (version 0.2.1)

stratRejectionSampler_normal: Stratified rejection sampler for multivariate normal point process

Description

Simulate data using a stratified rejection sampler from a point process with an isotropic multivariate normal decay kernel.

Usage

stratRejectionSampler_normal(
  numPoints,
  lowerCoords,
  upperCoords,
  s,
  windowIntensities,
  sd
)

Value

A matrix of x- and y-coordinates of the generated points. One row corresponds to one point.

Arguments

numPoints

Number of spatial points to generate.

lowerCoords, upperCoords

Matrices of lower and upper x- and y-coordinates of a set of detection windows. One row for each window.

s

Vector of x- and y-coordinates of of the isotropic multivariate normal distribution mean.

windowIntensities

Vector of integrated intensities over all detection windows.

sd

Standard deviation of the isotropic multivariate normal distribution.

Author

Joseph D. Chipperfield and Wei Zhang

Examples

numPoints <- 10
lowerObsCoords <- matrix(c(0, 0, 1, 0, 0, 1, 1, 1), nrow = 4, byrow = TRUE)
upperObsCoords <- matrix(c(1, 1, 2, 1, 1, 2, 2, 2), nrow = 4, byrow = TRUE)
s <- c(1, 1)
windowIntensities <- c(1:4)
sd <- 0.1
set.seed(0)
stratRejectionSampler_normal(numPoints, lowerObsCoords, upperObsCoords, s, windowIntensities, sd)