Conditional distribution of GMRF

Share:

Description

Distribution of Gaussian Markov Random Field conditional on data observed with noise on the same grid.

Usage

1
2
3
conditionalGmrf(param, Yvec, Xmat, NN, 
	template = NULL, mc.cores = 1, 
	cellsPerLoop = 10, ...)

Arguments

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 mcmapply

cellsPerLoop

number of cells to compute simultaneously. Larger values consume more memory but result in faster computation.

...

additional arguments passed to maternGmrfPrec

Value

Raster image with layers containing conditional mean and standard deviation.

Author(s)

Patrick Brown

See Also

maternGmrfPrec, lgm