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Computes sparse vector autoregressive coefficients and sparse precision matrices for time series chain graphical models. Methods are described in Abegaz and Wit (2013) <doi:10.1093/biostatistics/kxt005>.
| Version: | 4.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | glasso, longitudinal, huge, MASS, mvtnorm, network, abind, stats |
| Published: | 2026-01-09 |
| DOI: | 10.32614/CRAN.package.SparseTSCGM |
| Author: | Fentaw Abegaz [aut, cre], Ernst Wit [aut] |
| Maintainer: | Fentaw Abegaz <fentawabegaz at yahoo.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| CRAN checks: | SparseTSCGM results |
| Reference manual: | SparseTSCGM.html , SparseTSCGM.pdf |
| Package source: | SparseTSCGM_4.1.tar.gz |
| Windows binaries: | r-devel: SparseTSCGM_4.1.zip, r-release: SparseTSCGM_4.1.zip, r-oldrel: SparseTSCGM_4.1.zip |
| macOS binaries: | r-release (arm64): SparseTSCGM_4.1.tgz, r-oldrel (arm64): SparseTSCGM_4.1.tgz, r-release (x86_64): SparseTSCGM_4.1.tgz, r-oldrel (x86_64): SparseTSCGM_4.1.tgz |
| Old sources: | SparseTSCGM 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.