Package: corehunter 3.2.3

corehunter: Multi-Purpose Core Subset Selection

Core Hunter is a tool to sample diverse, representative subsets from large germplasm collections, with minimum redundancy. Such so-called core collections have applications in plant breeding and genetic resource management in general. Core Hunter can construct cores based on genetic marker data, phenotypic traits or precomputed distance matrices, optimizing one of many provided evaluation measures depending on the precise purpose of the core (e.g. high diversity, representativeness, or allelic richness). In addition, multiple measures can be simultaneously optimized as part of a weighted index to bring the different perspectives closer together. The Core Hunter library is implemented in Java 8 as an open source project (see <http://www.corehunter.org>).

Authors:Herman De Beukelaer [aut, cre], Guy Davenport [aut], Veerle Fack [ths]

corehunter_3.2.3.tar.gz
corehunter_3.2.3.zip(r-4.7)corehunter_3.2.3.zip(r-4.6)corehunter_3.2.3.zip(r-4.5)
corehunter_3.2.3.tgz(r-4.6-any)corehunter_3.2.3.tgz(r-4.5-any)
corehunter_3.2.3.tar.gz(r-4.7-any)corehunter_3.2.3.tar.gz(r-4.6-any)
corehunter_3.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
corehunter/json (API)
NEWS

# Install 'corehunter' in R:
install.packages('corehunter', repos = c('https://hdbeukel.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openjdk

2.43 score 27 scripts 289 downloads 2 mentions 12 exports 2 dependencies

Last updated from:c24611caf5. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK185
source / vignettesOK167
linux-release-x86_64OK169
macos-release-arm64OK172
macos-oldrel-arm64OK263
windows-develOK153
windows-releaseOK125
windows-oldrelOK125
wasm-releaseOK107

Exports:coreHunterDatadistancesevaluateCoreexampleDatagenotypesgetAlleleFrequenciesgetNormalizationRangesobjectivephenotypesread.autodelimsampleCoresetRange

Dependencies:naturalsortrJava