Information-cost ratios {qtlDesign} | R Documentation |
Functions to calculate information cost-ratios under the null hypothesis, and to find optimal selection fractions given cost.
info2cost.bc.null(alpha, cost, d=0, G=NULL) optalpha.bc(cost,d=0,G=NULL)
alpha |
Selection fraction; proportion of individuals genotyped |
cost |
Cost in units of raising individual |
d |
Marker spacing in Morgans |
G |
Genome size in Morgans |
Either the information to cost ratio, or the optimal selection fraction.
Functions for backcross only right now.
Saunak Sen, Jaya Satagopan, and Gary Churchill
Sen, Satagopan, and Churchill (2004), QTL study design from an information perspective, http://repositories.cdlib.org/cbmb/QTLdesign.
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)