View source: R/conditionalGmrf.R
conditionalGmrf | R Documentation |
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, ...)
param |
vector of named parameters |
Yvec |
vector of observed data, or matrix with each column being a realisation. |
Xmat |
Matrix of covariates. |
NN |
nearest neighbour matrix |
template |
Raster on which the GMRF is defined |
mc.cores |
passed to |
cellsPerLoop |
number of cells to compute simultaneously. Larger values consume more memory but result in faster computation. |
... |
additional arguments passed to |
Raster image with layers containing conditional mean and standard deviation.
Patrick Brown
maternGmrfPrec
, lgm
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