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ar.matrix: Simulate Auto Regressive Data from Precision Matricies

Using sparse precision matricies and Choleski factorization simulates data that is auto-regressive.

Version: 0.1.0
Depends: R (≥ 3.3.0)
Imports: MASS, Matrix, sparseMVN, sp
Suggests: ggplot2, leaflet
Published: 2018-12-02
DOI: 10.32614/CRAN.package.ar.matrix
Author: Neal Marquez [aut, cre, cph]
Maintainer: Neal Marquez <nmarquez at uw.edu>
BugReports: https://github.com/nmmarquez/ar.matrix/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: ar.matrix results

Documentation:

Reference manual: ar.matrix.pdf

Downloads:

Package source: ar.matrix_0.1.0.tar.gz
Windows binaries: r-devel: ar.matrix_0.1.0.zip, r-release: ar.matrix_0.1.0.zip, r-oldrel: ar.matrix_0.1.0.zip
macOS binaries: r-release (arm64): ar.matrix_0.1.0.tgz, r-oldrel (arm64): ar.matrix_0.1.0.tgz, r-release (x86_64): ar.matrix_0.1.0.tgz, r-oldrel (x86_64): ar.matrix_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.