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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
DOI: 10.32614/CRAN.package.genscore
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:

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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.