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r-cran-tmvnsim 1.0-2-1
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This is the Debian GNU/Linux r-cran-tmvnsim package of tmvnsim.  The
tmvnsim package offers truncated multivariate normal simulation. It
was written by Samsiddhi Bhattacharjee.

This package was created by Dirk Eddelbuettel <edd@debian.org>.
The sources were downloaded from the main CRAN site
	http://cran.r-project.org/src/contrib/
and are also available from all CRAN mirrors as e.g.
	http://cran.us.r-project.org/src/contrib/

The package was renamed from its upstream name 'tmvnsim' to
'r-cran-tmvnsim' to fit the pattern of CRAN (and non-CRAN)
packages for R.

Files: *
Copyright: 2015 - 2016  Samsiddhi Bhattacharjee
License: GPL-2

Files: debian/*
Copyright: 2020  Dirk Eddelbuettel <edd@debian.org>
License: GPL-2+

On a Debian GNU/Linux system, the GPL license (version 2) is included
in the file /usr/share/common-licenses/GPL-2 and the GPL license
(version 3) is included in the file /usr/share/common-licenses/GPL-3

For reference, the upstream DESCRIPTION file is included below:

    Package: tmvnsim
    Version: 1.0-2
    Date: 2016-12-14
    Title: Truncated Multivariate Normal Simulation
    Author: Samsiddhi Bhattacjarjee <sb1@nibmg.ac.in>
    Maintainer: Samsiddhi Bhattacharjee <sb1@nibmg.ac.in>
    Description: 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.
    License: GPL-2
    Repository: CRAN
    URL: https://www.r-project.org
    NeedsCompilation: yes
    Packaged: 2016-12-14 12:02:07 UTC; sb1
    Date/Publication: 2016-12-15 09:05:14