Computes sparse vector autoregressive coefficients and precision matrices for time series chain graphical models. Fentaw Abegaz and Ernst Wit (2013) <doi:10.1093/biostatistics/kxt005>.
Version: | 4.0 |
Depends: | R (≥ 3.3.2) |
Imports: | glasso, longitudinal, huge, MASS, mvtnorm, network, abind, stats |
Published: | 2021-01-13 |
Author: | Fentaw Abegaz [aut, cre], Ernst Wit [aut] |
Maintainer: | Fentaw Abegaz <f.abegaz.yazew at rug.nl> |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
CRAN checks: | SparseTSCGM results |
Reference manual: | SparseTSCGM.pdf |
Package source: | SparseTSCGM_4.0.tar.gz |
Windows binaries: | r-devel: SparseTSCGM_4.0.zip, r-release: SparseTSCGM_4.0.zip, r-oldrel: SparseTSCGM_4.0.zip |
macOS binaries: | r-release (arm64): SparseTSCGM_4.0.tgz, r-oldrel (arm64): SparseTSCGM_4.0.tgz, r-release (x86_64): SparseTSCGM_4.0.tgz, r-oldrel (x86_64): SparseTSCGM_4.0.tgz |
Old sources: | SparseTSCGM archive |
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