Distribution of Gaussian Markov Random Field conditional on data observed with noise on the same grid.
conditionalGmrf(param, Yvec, Xmat, NN,
template = NULL, mc.cores = 1,
cellsPerLoop = 10, ...)
Raster image with layers containing conditional mean and standard deviation.
vector of named parameters
vector of observed data, or matrix with each column being a realisation.
Matrix of covariates.
nearest neighbour matrix
Raster on which the GMRF is defined
passed to mclapply
number of cells to compute simultaneously. Larger values consume more memory but result in faster computation.
additional arguments passed to maternGmrfPrec
Patrick Brown
maternGmrfPrec
, lgm