Multistage selection is practiced in numerous fields of life and social sciences and particularly in breeding. A special characteristic of multistage 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 multistage selection programs for a given total budget and different costs of evaluating the candidates in each stage.
Package details 


Author  Xuefei Mi, Jose Marulanda, H. Friedrich Utz, Albrecht E. Melchinger (Project contact person: Melchinger@unihohenheim.de ) 
Date of publication  20161009 17:54:53 
Maintainer  Xuefei Mi <mi_xue_fei@hotmail.com> 
License  GPL2 
Version  2.0.591 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.