r-cran-huge 1.3.4-1build1 (riscv64 binary) in ubuntu groovy
Provides a general framework for high-dimensional undirected graph
estimation. It integrates data preprocessing, neighborhood screening,
graph estimation, and model selection techniques into a pipeline. In
preprocessing stage, the nonparanormal(npn) transformation is applied to
help relax the normality assumption. In the graph estimation stage, the
graph structure is estimated by Meinshausen-
the graphical lasso, and both methods can be further accelerated by the
lossy screening rule preselecting the neighborhood of each variable by
correlation thresholding.
Details
- Package version:
- 1.3.4-1build1
- Status:
- Superseded
- Component:
- universe
- Priority:
- Optional
Downloadable files
riscv64 build of r-cran-huge 1.3.4-1build1 in ubuntu focal RELEASE produced
these files:
- r-cran-huge_1.3.4-1build1_riscv64.deb (1.6 MiB)