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Implements a general framework for creating dependency graphs using projection as introduced in Fan, Feng and Xia (2019)<doi:10.48550/arXiv.1501.01617>. Both lasso and sparse additive model projections are implemented. Both Pearson correlation and distance covariance options are available to generate the graph.
| Version: | 1.6 |
| Imports: | SAM, energy, glasso, glmnet, splines |
| Published: | 2020-01-21 |
| DOI: | 10.32614/CRAN.package.pgraph |
| Author: | Yang Feng [aut, cre], Jianqing Fan [aut], Lucy Xia [aut] |
| Maintainer: | Yang Feng <yangfengstat at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| CRAN checks: | pgraph results |
| Reference manual: | pgraph.pdf |
| Package source: | pgraph_1.6.tar.gz |
| Windows binaries: | r-devel: pgraph_1.6.zip, r-release: pgraph_1.6.zip, r-oldrel: pgraph_1.6.zip |
| macOS binaries: | r-release (arm64): pgraph_1.6.tgz, r-oldrel (arm64): pgraph_1.6.tgz, r-release (x86_64): pgraph_1.6.tgz, r-oldrel (x86_64): pgraph_1.6.tgz |
| Old sources: | pgraph archive |
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These binaries (installable software) and packages are in development.
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