Design of experiments for detection of linkage disequilibrium


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Documentation for package ‘ldDesign’ version 2.0-1

Help Pages

calc.alphaB.ABF Calculate Z-values or alpha-values from approximate Bayes factors and vice versa.
calc.B.ABF Calculate Z-values or alpha-values from approximate Bayes factors and vice versa.
calc.Balpha.ABF Calculate Z-values or alpha-values from approximate Bayes factors and vice versa.
calc.Zalpha.ABF Calculate Z-values or alpha-values from approximate Bayes factors and vice versa.
calc.Zc.ABF Calculate Z-values or alpha-values from approximate Bayes factors and vice versa.
cc.design Functions for design of experiments to detect linkage disequilibrium in genome-wide case-control studies
cc.power Functions for design of experiments to detect linkage disequilibrium in genome-wide case-control studies
gpc.power Power calculations for case-control studies using the Genetic Power calculator
ld.design Functions for design of experiments to detect linkage disequilibrium
ld.power Functions for design of experiments to detect linkage disequilibrium
ld.sim Functions to simulate populations with a bi-allelic marker and QTL in linkage disequilibrium and test for association.
ld.sim1 Functions to simulate populations with a bi-allelic marker and QTL in linkage disequilibrium and test for association.
luo.ld.populations Luo's Linkage disequilibrium example populations
luo.ld.power Classical deterministic power calculation for association studies to detect linkage disequilibrium
oneway.bf.alpha Correspondence between significance levels and Bayes factors for effects of marker genotype classes.
oneway.bf.alpha.required Correspondence between significance levels and Bayes factors for effects of marker genotype classes.
SS.oneway.bf Bayes factors for one-way analysis of variance models.