chol_control: Set options for Cholesky decomposition
In mcmcsae: Markov Chain Monte Carlo Small Area Estimation
chol_control R Documentation
Set options for Cholesky decomposition
Description
These options are only effective in case the matrix to be decomposed is sparse, i.p.
of class dsCMatrix-class.
Usage
chol_control(perm = NULL, super = NA, ordering = 0L, inplace = TRUE)
Arguments
perm
logical scalar, see Cholesky. If NULL, the default,
the choice is left to a simple heuristic.
super
logical scalar, see Cholesky.
ordering
an integer scalar passed to CHOLMOD routines determining which reordering
schemes are tried to limit sparse Cholesky fill-in.
inplace
whether sparse Cholesky updates should re-use the same memory location.
Value
A list with specified options used for Cholesky decomposition.
mcmcsae documentation built on Oct. 11, 2023, 1:06 a.m.
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| chol_control | R Documentation |
Set options for Cholesky decomposition
Description
These options are only effective in case the matrix to be decomposed is sparse, i.p.
of class dsCMatrix-class.
Usage
chol_control(perm = NULL, super = NA, ordering = 0L, inplace = TRUE)
Arguments
perm |
logical scalar, see |
super |
logical scalar, see |
ordering |
an integer scalar passed to CHOLMOD routines determining which reordering schemes are tried to limit sparse Cholesky fill-in. |
inplace |
whether sparse Cholesky updates should re-use the same memory location. |
Value
A list with specified options used for Cholesky decomposition.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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