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genscore: Generalized Score Matching Estimators

Implementation of the Generalized Score Matching estimator in Yu et al. (2019) <https://jmlr.org/papers/v20/18-278.html> for non-negative graphical models (truncated Gaussian, exponential square-root, gamma, a-b models) and univariate truncated Gaussian distributions. Also includes the original estimator for untruncated Gaussian graphical models from Lin et al. (2016) <doi:10.1214/16-EJS1126>, with the addition of a diagonal multiplier.

Version: 1.0.2.2
Imports: Rdpack, mvtnorm, tmvtnorm, stringr
Suggests: Matrix, igraph, zoo, knitr, rmarkdown, cubature
Published: 2023-12-16
Author: Shiqing Yu, Lina Lin, Wally Gilks
Maintainer: Shiqing Yu <syu.phd at gmail.com>
BugReports: https://github.com/sqyu/genscore/issues
License: GPL-3
URL: https://github.com/sqyu/genscore
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: genscore results

Documentation:

Reference manual: genscore.pdf
Vignettes: my-vignette

Downloads:

Package source: genscore_1.0.2.2.tar.gz
Windows binaries: r-devel: genscore_1.0.2.2.zip, r-release: genscore_1.0.2.2.zip, r-oldrel: genscore_1.0.2.2.zip
macOS binaries: r-release (arm64): genscore_1.0.2.2.tgz, r-oldrel (arm64): genscore_1.0.2.2.tgz, r-release (x86_64): genscore_1.0.2.2.tgz, r-oldrel (x86_64): genscore_1.0.2.2.tgz
Old sources: genscore archive

Reverse dependencies:

Reverse imports: HGMND

Linking:

Please use the canonical form https://CRAN.R-project.org/package=genscore to link to this page.

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.
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