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Distance-based parametric bootstrap tests for clustering with spatial neighborhood information. Some distance measures, Clustering of presence-absence, abundance and multilocus genetic data for species delimitation, nearest neighbor based noise detection. Genetic distances between communities. Tests whether various distance-based regressions are equal. Try package?prabclus for on overview.
Version: | 2.3-4 |
Depends: | R (≥ 2.10), MASS, mclust |
Suggests: | spdep, spatialreg, bootstrap, foreign, mvtnorm |
Published: | 2024-09-24 |
DOI: | 10.32614/CRAN.package.prabclus |
Author: | Christian Hennig [aut, cre], Bernhard Hausdorf [aut] |
Maintainer: | Christian Hennig <christian.hennig at unibo.it> |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
URL: | https://www.unibo.it/sitoweb/christian.hennig/en/ |
NeedsCompilation: | no |
In views: | Cluster, Environmetrics |
CRAN checks: | prabclus results |
Reference manual: | prabclus.pdf |
Package source: | prabclus_2.3-4.tar.gz |
Windows binaries: | r-devel: prabclus_2.3-4.zip, r-release: prabclus_2.3-4.zip, r-oldrel: prabclus_2.3-4.zip |
macOS binaries: | r-release (arm64): prabclus_2.3-4.tgz, r-oldrel (arm64): prabclus_2.3-4.tgz, r-release (x86_64): prabclus_2.3-4.tgz, r-oldrel (x86_64): prabclus_2.3-4.tgz |
Old sources: | prabclus archive |
Reverse imports: | evaluomeR, fpc |
Reverse suggests: | FCPS |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.