selectiongain: A Tool for Calculation and Optimization of the Expected Gain from Multi-Stage Selection
Version 2.0.591

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.

Getting started

Package details

AuthorXuefei Mi, Jose Marulanda, H. Friedrich Utz, Albrecht E. Melchinger (Project contact person: [email protected] )
Date of publication2016-10-09 17:54:53
MaintainerXuefei Mi <[email protected]>
Package repositoryView on CRAN
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selectiongain documentation built on May 29, 2017, 4:29 p.m.