marginalVoidProbIntegrand | R Documentation |
Integrand of the marginal void probability integral. The domain of this function is the habitat domain.
marginalVoidProbIntegrand( x, lowerCoords, upperCoords, sd, baseIntensities, numPoints, numWindows )
x |
Matrix of x- and y-coordinates of a set of spatial points. One row corresponds to one point. |
lowerCoords, upperCoords |
Matrices of lower and upper x- and y-coordinates of a set of detection windows. One row for each window. |
sd |
Standard deviation of the isotropic multivariate normal distribution. |
baseIntensities |
Vector of baseline detection intensities for all detection windows. |
numPoints |
Number of points that should be considered. This value (positive integer) is used to truncate |
numWindows |
Number of windows. This value (positive integer) is used to truncate |
A vector of values of the integrand evaluated at each point of x
.
Wei Zhang
W. Zhang, J. D. Chipperfield, J. B. Illian, P. Dupont, C. Milleret, P. de Valpine and R. Bischof. 2020. A hierarchical point process model for spatial capture-recapture data. bioRxiv. DOI 10.1101/2020.10.06.325035
x <- matrix(runif(10, 0, 2), nrow = 5) lowerCoords <- matrix(c(0, 0, 1, 0, 0, 1, 1, 1), nrow = 4, byrow = TRUE) upperCoords <- matrix(c(1, 1, 2, 1, 1, 2, 2, 2), nrow = 4, byrow = TRUE) sd <- 0.1 baseIntensities <- c(1:4) numPoints <- 5 numWindows <- 4 marginalVoidProbIntegrand(x, lowerCoords, upperCoords, sd, baseIntensities, numPoints, numWindows)
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