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Estimates networks of conditional dependencies (Gaussian graphical models) from multiple classes of data (similar but not exactly, i.e. measurements on different equipment, in different locations or for various sub-types). Package also allows to generate simulation data and evaluate the performance. Implementation of the method described in Angelini, De Canditiis and Plaksienko (2022) <doi:10.3390/math10213983>.
Version: | 2.0.2 |
Depends: | R (≥ 3.6.0) |
Imports: | Matrix, matrixcalc, MASS, SMUT, igraph, parallel, purrr |
Suggests: | knitr, rmarkdown |
Published: | 2024-05-22 |
DOI: | 10.32614/CRAN.package.jewel |
Author: | Anna Plaksienko [aut, cre], Claudia Angelini [aut], Daniela De Canditiis [aut] |
Maintainer: | Anna Plaksienko <anna at plaxienko.com> |
License: | GPL-2 |
URL: | https://github.com/annaplaksienko/jewel |
NeedsCompilation: | no |
Materials: | README |
In views: | GraphicalModels |
CRAN checks: | jewel results |
Reference manual: | jewel.pdf |
Vignettes: |
jewel_vignette |
Package source: | jewel_2.0.2.tar.gz |
Windows binaries: | r-devel: jewel_2.0.2.zip, r-release: jewel_2.0.2.zip, r-oldrel: jewel_2.0.2.zip |
macOS binaries: | r-release (arm64): jewel_2.0.2.tgz, r-oldrel (arm64): jewel_2.0.2.tgz, r-release (x86_64): jewel_2.0.2.tgz, r-oldrel (x86_64): jewel_2.0.2.tgz |
Old sources: | jewel archive |
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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.