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corehunter
View on CRAN: Click
here
Download and install corehunter package within the R console
Install from CRAN:
install.packages("corehunter")
Install from Github:
library("remotes")
install_github("cran/corehunter")
Install by package version:
library("remotes")
install_version("corehunter", "3.2.3")
Attach the package and use:
library("corehunter")
Maintained by
Herman De Beukelaer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-04
Latest Update: 2023-09-01
Description:
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
).
How to cite:
Herman De Beukelaer (2016). corehunter: Multi-Purpose Core Subset Selection. R package version 3.2.3, https://cran.r-project.org/web/packages/corehunter. Accessed 22 Dec. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for corehunter
Functions, R codes and Examples using
the corehunter R package
Some associated functions: coreHunterData . corehunter-package . distances . evaluateCore . exampleData . genotypes . getAlleleFrequencies . getNormalizationRanges . objective . phenotypes . read.autodelim . sampleCore . setRange . wrapData .
Some associated R codes: analysis.R . corehunter-package.R . data.R . execution.R . java.R . zzz.R . Full corehunter package functions and examples
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