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selectiongain
View on CRAN: Click
here
Download and install selectiongain package within the R console
Install from CRAN:
install.packages("selectiongain")
Install from Github:
library("remotes")
install_github("cran/selectiongain")
Install by package version:
library("remotes")
install_version("selectiongain", "2.0.710")
Attach the package and use:
library("selectiongain")
Maintained by
Xuefei Mi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.selectiongain . selectiongain results . selectiongain.pdf . selectiongain_2.0.710.tar.gz . selectiongain_2.0.710.zip . selectiongain_2.0.710.zip . selectiongain_2.0.710.zip . selectiongain_2.0.710.tgz . selectiongain_2.0.710.tgz . selectiongain_2.0.710.tgz . selectiongain_2.0.710.tgz . selectiongain archive . https://CRAN.R-project.org/package=selectiongain .
First Published: 2008-11-24
Latest Update: 2022-09-17
Description:
Multi-stage selection is practiced in numerous fields of life
and social sciences and particularly in breeding. A special characteristic of
multi-stage selection is that candidates are evaluated in successive stages
with increasing intensity and effort, and only a fraction of the superior
candidates is selected and promoted to the next stage. For the optimum design
of such selection programs, the selection gain plays a crucial role. It can be
calculated by integration of a truncated multivariate normal (MVN) distribution.
While mathematical formulas for calculating the selection gain and the variance
among selected candidates were developed long time ago, solutions for numerical
calculation were not available. This package can also be used for optimizing
multi-stage selection programs for a given total budget and different costs of
evaluating the candidates in each stage.
How to cite:
Xuefei Mi (2008). selectiongain: A Tool for Calculation and Optimization of the Expected Gain from Multi-Stage Selection. R package version 2.0.710, https://cran.r-project.org/web/packages/selectiongain. Accessed 03 May. 2025.
Previous versions and publish date:
1.0 (2008-11-24 20:54), 1.1.7.0 (2011-10-23 12:10), 1.1.8.0 (2011-11-28 15:08), 1.2.1.0 (2011-12-10 12:13), 2.0.1 (2012-07-12 15:32), 2.0.6 (2013-05-02 08:01), 2.0.22 (2013-09-19 14:06), 2.0.23 (2013-09-25 20:25), 2.0.27 (2013-10-18 23:50), 2.0.28 (2013-10-23 00:51), 2.0.29 (2013-12-11 09:36), 2.0.40 (2014-12-29 14:32), 2.0.50.1 (2016-03-14 12:58), 2.0.591 (2016-10-09 17:54), 2.0.707 (2022-02-12 15:10)
Other packages that cited selectiongain R package
View selectiongain citation profile
Other R packages that selectiongain depends,
imports, suggests or enhances
Complete documentation for selectiongain
Functions, R codes and Examples using
the selectiongain R package
Some associated functions: SDselectiongain . multistagecor . multistagegain.each . multistagegain . multistageoptimum.grid . multistageoptimum.nlm . multistageoptimum.search . multistageoptimum.searchIndexT . multistageoptimum.searchThreeS . multistagetp . multistagevariance .
Some associated R codes: SDselectiongain.R . multistagecor.R . multistagegain.R . multistagegain.each.R . multistageoptimum.grid.R . multistageoptimum.nlm.R . multistageoptimum.search.R . multistageoptimum.searchIndexT.R . multistageoptimum.searchThreeS.R . multistagetp.R . multistagevariance.R . Full selectiongain package functions and examples
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