CRAN/E | selectiongain

selectiongain

A Tool for Calculation and Optimization of the Expected Gain from Multi-Stage Selection

Installation

About

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.

Key Metrics

Version 2.0.710
R ≥ 4.1.0
Published 2022-09-17 756 days ago
Needs compilation? no
License GPL-2
CRAN checks selectiongain results

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Maintainer

Maintainer

Xuefei Mi

Authors

Xuefei Mi
Jose Marulanda
H. Friedrich Utz
Albrecht E. Melchinger

(Project contact person: [email protected] )

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

selectiongain archive

Depends

R ≥ 4.1.0
mvtnorm
parallel