Information-cost ratios {qtlDesign}R Documentation

Functions to calculate information-cost ratios, and to find optimal selection fractions

Description

Functions to calculate information cost-ratios under the null hypothesis, and to find optimal selection fractions given cost.

Usage

info2cost.bc.null(alpha, cost, d=0, G=NULL)
optalpha.bc(cost,d=0,G=NULL)

Arguments

alpha Selection fraction; proportion of individuals genotyped
cost Cost in units of raising individual
d Marker spacing in Morgans
G Genome size in Morgans

Details

Value

Either the information to cost ratio, or the optimal selection fraction.

Note

Functions for backcross only right now.

Author(s)

Saunak Sen, Jaya Satagopan, and Gary Churchill

References

Sen, Satagopan, and Churchill (2004), QTL study design from an information perspective, http://repositories.cdlib.org/cbmb/QTLdesign.

See Also

info.bc.null

Examples

info2cost.bc.null(0.5,1)
info2cost.bc.null(0.5,1,0.1,14.50)
optalpha.bc(1)
optalpha.bc(0.001,0.1,14.50)

[Package qtlDesign version 0.32 Index]