./math/R-tmvnsim, Truncated Multivariate Normal Simulation

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Branch: CURRENT, Version: 1.0.2, Package name: R-tmvnsim-1.0.2, Maintainer: pkgsrc-users

Importance sampling from the truncated multivariate normal using the
GHK (Geweke-Hajivassiliou-Keane) simulator. Unlike Gibbs sampling
which can get stuck in one truncation sub-region depending on initial
values, this package allows truncation based on disjoint regions that
are created by truncation of absolute values. The GHK algorithm uses
simple Cholesky transformation followed by recursive simulation of
univariate truncated normals hence there are also no convergence
issues. Importance sample is returned along with sampling weights,
based on which, one can calculate integrals over truncated regions for
multivariate normals.

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   2021-10-26 12:56:13 by Nia Alarie | Files touched by this commit (458) 
Log message:
math: Replace RMD160 checksums with BLAKE2s checksums

All checksums have been double-checked against existing RMD160 and
SHA512 hashes
   2021-10-07 16:28:36 by Nia Alarie | Files touched by this commit (458) 
Log message:
math: Remove SHA1 hashes for distfiles
   2021-09-18 03:38:00 by Makoto Fujiwara | Files touched by this commit (3) 
Log message:
(math/R-tmvnsim) import R-tmvnsim-1.0.2

Importance sampling from the truncated multivariate normal using the
GHK (Geweke-Hajivassiliou-Keane) simulator. Unlike Gibbs sampling
which can get stuck in one truncation sub-region depending on initial
values, this package allows truncation based on disjoint regions that
are created by truncation of absolute values. The GHK algorithm uses
simple Cholesky transformation followed by recursive simulation of
univariate truncated normals hence there are also no convergence
issues. Importance sample is returned along with sampling weights,
based on which, one can calculate integrals over truncated regions for
multivariate normals.