sparseMVN: Multivariate Normal Functions for Sparse Covariance and Precision Matrices.

Computes multivariate normal (MVN) densities, and samples from MVN distributions, when the covariance or precision matrix is sparse.

AuthorMichael Braun [aut, cre, cph]
Date of publication2015-02-06 00:54:37
MaintainerMichael Braun <braunm@smu.edu>
LicenseMPL (>= 2.0)
Version0.2.0

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Files

sparseMVN
sparseMVN/inst
sparseMVN/inst/examples
sparseMVN/inst/examples/run_timing.Rmd
sparseMVN/inst/examples/timing.pdf
sparseMVN/inst/doc
sparseMVN/inst/doc/sparseMVN-demo.Rmd
sparseMVN/inst/doc/sparseMVN-demo.html
sparseMVN/inst/doc/sparseMVN-demo.R
sparseMVN/inst/doc/timing.Rmd
sparseMVN/inst/doc/timing.pdf
sparseMVN/tests
sparseMVN/tests/testthat.R
sparseMVN/tests/testthat
sparseMVN/tests/testthat/test_sparseMVN.R
sparseMVN/NAMESPACE
sparseMVN/NEWS
sparseMVN/R
sparseMVN/R/sparseMVN-package.R sparseMVN/R/rmvn-sparse.R
sparseMVN/vignettes
sparseMVN/vignettes/sparseMVN-demo.Rmd
sparseMVN/vignettes/timing.html
sparseMVN/vignettes/timing.Rmd
sparseMVN/vignettes/sparseMVN.bib
sparseMVN/MD5
sparseMVN/build
sparseMVN/build/vignette.rds
sparseMVN/DESCRIPTION
sparseMVN/man
sparseMVN/man/sparseMVN-package.Rd sparseMVN/man/rmvn.sparse.Rd

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