sm: Convert a matrix or sparse matrix into the sparse formate...
In andrewzm/INLA: Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion

Convert a matrix or sparse matrix into the sparse format used by INLA (dgTMatrix)

1 2	inla.as.sparse(...) inla.as.dgTMatrix(A, unique = TRUE)

`...`	The arguments. The matrix or sparse matrix, and the additonal arguments
`A`	The matrix
`unique`	If the internal representation needs to be unique or can have duplicated entries. Do not use this option unless you know what you are doing.

inla.as.sparse and inla.as.dgTMatrix is the same function. The returned value is a sparse matrix in the sparse-format used by INLA

1 2	A = matrix(1:9, 3, 3) inla.as.sparse(A)

andrewzm/INLA documentation built on May 10, 2019, 11:12 a.m.

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README.md

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