selectiongain: Expected gain from multistages selection
This package calculate the gain from selection, which is
described by Cochran (1951). For one-stage selection the gain
is defined as \eqn{\Delta G (y) = i \rho_{y} \rho_{1}}, where
\eqn{i} is the selection intensity, \eqn{\rho_{1}} is the
correlation between the true breeding value and the selection
index \eqn{y} (Utz1969). The numerical calculation is based on
Tallis' algorithm (Tallis1961).
| Version: |
1.2.1.0 |
| Depends: |
R (≥ 2.13.0), mvtnorm |
| Published: |
2011-12-10 |
| Author: |
Xuefei Mi, Friedrich Utz, Albrecht E. Melchinger (Project
contact person: Melchinger at uni-hohenheim.de ) |
| Maintainer: |
Xuefei Mi <mi at pz.uni-hohenheim.de> |
| License: |
GPL-2 |
| CRAN checks: |
selectiongain results |
Downloads: