SparseTSCGM
Sparse Time Series Chain Graphical Models
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
5.0 |
rolling linux/jammy R-4.5 | SparseTSCGM_5.0.tar.gz |
77.9 KiB |
5.0 |
rolling linux/noble R-4.5 | SparseTSCGM_5.0.tar.gz |
77.8 KiB |
5.0 |
rolling source/ R- | SparseTSCGM_5.0.tar.gz |
25.5 KiB |
5.0 |
latest linux/jammy R-4.5 | SparseTSCGM_5.0.tar.gz |
77.9 KiB |
5.0 |
latest linux/noble R-4.5 | SparseTSCGM_5.0.tar.gz |
77.8 KiB |
5.0 |
latest source/ R- | SparseTSCGM_5.0.tar.gz |
25.5 KiB |
5.0 |
2026-04-26 source/ R- | SparseTSCGM_5.0.tar.gz |
25.5 KiB |
5.0 |
2026-04-23 source/ R- | SparseTSCGM_5.0.tar.gz |
25.5 KiB |
5.0 |
2026-04-09 windows/windows R-4.5 | SparseTSCGM_5.0.zip |
84.8 KiB |