sparseMVN (

0 users

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.

Maintainer: Michael Braun
Author(s): Michael Braun [aut, cre, cph]

License: MPL (>= 2.0)

Uses: Matrix, ggplot2, mvtnorm, xtable, plyr, testthat, reshape2, scales, knitr, trustOptim, dplyr, tidyr
Reverse suggests: loggle

Released about 2 years ago.

3 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of sparseMVN yet. Want to be the first? Write one now.

Related packages: BiasedUrn, CircStats, Davies, GLDEX, GSM, HI, HyperbolicDist, LearnBayes, Lmoments, MCMCpack, Runuran, SuppDists, VGAM, agricolae, bayesm, benchden, circular, compositions, copula, distrDoc(20 best matches, based on common tags.)

Search for sparseMVN on google, google scholar, r-help, r-devel.

Visit sparseMVN on R Graphical Manual.