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selectiongain (version 1.2.1.0)

Expected gain from multistages selection

Description

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).

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Install

install.packages('selectiongain')

Monthly Downloads

315

Version

1.2.1.0

License

GPL-2

Maintainer

Last Published

December 10th, 2011

Functions in selectiongain (1.2.1.0)