simconf.mc is used for calculating simultaneous confidence regions based on Monte Carlo samples. The function returns upper and lower bounds a and b such that P(a<x<b) = 1-alpha.
● Data Source:
CranContrib
● Keywords:
● Alias: simconf.mc
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Calculates contour curves on a triangulation
● Data Source:
CranContrib
● Keywords:
● Alias: tricontour, tricontour.inla.mesh, tricontour.list, tricontour.matrix
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simconf is used for calculating simultaneous confidence regions for Gaussian models x. The function returns upper and lower bounds a and b such that P(a<x<b) = 1-alpha.
● Data Source:
CranContrib
● Keywords:
● Alias: simconf
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simconf.inla is used for calculating simultaneous confidence regions for latent Gaussian models estimated using INLA.
● Data Source:
CranContrib
● Keywords:
● Alias: simconf.inla
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Calculates continuous domain excursion and credible contour sets
● Data Source:
CranContrib
● Keywords:
● Alias: continuous
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Excursion sets and contour credible regions for latent Gaussian models calculated using the INLA method.
● Data Source:
CranContrib
● Keywords:
● Alias: excursions.inla
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gaussint is used for calculating Gaussian integrals
● Data Source:
CranContrib
● Keywords:
● Alias: gaussint
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contourmap.colors calculates suitable colours for displaying contour maps.
● Data Source:
CranContrib
● Keywords:
● Alias: contourmap.colors
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Extracts a part of a mesh
● Data Source:
CranContrib
● Keywords:
● Alias: submesh.mesh
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excursions.variances calculates the diagonal of the inverse of a sparse symmetric positive definite matrix Q. The method for calculating the diagonal requires the Cholesky factor of Q, which should be supplied if available.
● Data Source:
CranContrib
● Keywords:
● Alias: excursions.variances
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providing 
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