r-cran-huge 1.3.5-2 source package in Ubuntu
Changelog
r-cran-huge (1.3.5-2) unstable; urgency=medium * Packaging update * Standards-Version: 4.7.0 (routine-update) * Reorder sequence of d/control fields by cme (routine-update) * d/control: remove my name from Uploaders. -- Joost van Baal-Ilić <email address hidden> Thu, 18 Apr 2024 14:58:32 +0000
Upload details
- Uploaded by:
- Debian R Packages Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian R Packages Maintainers
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Oracular | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| r-cran-huge_1.3.5-2.dsc | 2.0 KiB | 44ba7fb89d468333595b63528e9ab53111be1bfa8dab2530914218f6d9b264d4 |
| r-cran-huge_1.3.5.orig.tar.gz | 1.9 MiB | 9240866e2f773cd0ac8a02514871149d2babaa162a49e151eab9591ad42984ea |
| r-cran-huge_1.3.5-2.debian.tar.xz | 2.7 KiB | eb82ec437bdecceba9cfd9d10d776f9d80cbb90d6b481f87839c8c909da4dbf4 |
Available diffs
- diff from 1.3.5-1 to 1.3.5-2 (811 bytes)
No changes file available.
Binary packages built by this source
- r-cran-huge: GNU R high-dimensional undirected graph estimation
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-Buhlmann graph estimation or
the graphical lasso, and both methods can be further accelerated by the
lossy screening rule preselecting the neighborhood of each variable by
correlation thresholding.
- r-cran-huge-dbgsym: debug symbols for r-cran-huge
