r-cran-fpc 2.2-3-1 source package in Ubuntu
Changelog
r-cran-fpc (2.2-3-1) unstable; urgency=medium * New upstream version * debhelper 12 * Standards-Version: 4.4.1 * rename debian/tests/control.autodep8 to debian/tests/control * Test-Depends: r-cran-mvtnorm * debhelper-compat 12 * Trim trailing whitespace. * Set upstream metadata fields: Archive. -- Andreas Tille <email address hidden> Wed, 09 Oct 2019 11:39:50 +0200
Upload details
- Uploaded by:
- Debian R Packages Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian R Packages Maintainers
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| r-cran-fpc_2.2-3-1.dsc | 2.1 KiB | 9ce1b76ee1e7153d4b0dc9373c46455701ae4bfff0a0f91704ec4bb38ef2a195 |
| r-cran-fpc_2.2-3.orig.tar.gz | 192.4 KiB | 8100a74e6ff96b1cd65fd22494f2d200e54ea5ea533cfca321fa494914bdc3b7 |
| r-cran-fpc_2.2-3-1.debian.tar.xz | 2.3 KiB | 218bd184aefdfa8164a0f7fbd73648da1974c169f417499a5782181b2b93d8b4 |
Available diffs
- diff from 2.1-11.1-1 to 2.2-3-1 (75.7 KiB)
No changes file available.
Binary packages built by this source
- r-cran-fpc: GNU R flexible procedures for clustering
Various methods for clustering and cluster validation. Fixed point
clustering. Linear regression clustering. Clustering by merging Gaussian
mixture components. Symmetric and asymmetric discriminant projections
for visualisation of the separation of groupings. Cluster validation
statistics for distance based clustering including corrected Rand index.
Cluster-wise cluster stability assessment. Methods for estimation of the
number of clusters: Calinski-Harabasz, Tibshirani and Walther's
prediction strength, Fang and Wang's bootstrap stability.
Gaussian/multinomial mixture fitting for mixed continuous/ categorical
variables. Variable-wise statistics for cluster interpretation. DBSCAN
clustering. Interface functions for many clustering methods implemented
in R, including estimating the number of clusters with kmeans, pam and
clara. Modality diagnosis for Gaussian mixtures.
