Package: selectiongain
Type: Package
Title: A Tool for Calculation and Optimization of the Expected Gain
        from Multi-Stage Selection
Version: 2.0.710
Date: 2022-09-17
Author: Xuefei Mi, Jose Marulanda, H. Friedrich Utz, Albrecht E. Melchinger
    (Project contact person: Melchinger@uni-hohenheim.de )
Maintainer: Xuefei Mi <mi_xue_fei@hotmail.com>
Depends: R (>= 4.1.0), mvtnorm,parallel
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.
License: GPL-2
NeedsCompilation: no
Repository: CRAN
Packaged: 2022-09-17 09:07:11 UTC; user
Date/Publication: 2022-09-17 09:56:04 UTC
Built: R 4.6.0; ; 2026-04-25 22:15:03 UTC; unix
