nll_arma: Create a taper setup for an Eigen sparse matrix
In coatless/pims_bigdata: Packaged spatial methods

Generate the storage information we'll need to create a sparse eigen matrix

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nll_arma(x, d, z, n)

nll_parallel(x, d, z, n, cores = 1L)

`x`	A `double` that represents rho, which is the scaling parameter of the exponential covariance function
`d`	A `matrix` that is a symmetric distance matrix.
`z`	A `vec` that contains the finite number of observations
`n`	A `double` that indicates the number of rows/cols of the matrix.
`cores`	A `integer` representing how many cores should be loaded

A double

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data(anom1962)
d = rdist_earth1(head(loc))
nll_arma(20, d, z, n)

coatless/pims_bigdata documentation built on May 13, 2019, 8:46 p.m.

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