Calculates trait-adjusted posterior probabilities for all traits at sharing parameter kappa

Calculates trait-adjusted posterior probabilities for all traits at sharing parameter kappa

calcAdjPP(qt, STR, SS, tau, nsnpspermodel, kappa, PP, beta, NCORES)

Arguments

qt

vector of trait names

STR

list consisting of vectors of model configurations for each trait

SS

list consisting of lists of model configuration SNPs for each trait

tau

matrix of adjustment terms

nsnpspermodel

list of number of SNPs per model for each model in STR

kappa

single value of sharing parameter kappa

PP

list consisting of vectors of posterior probabilities for the model configurations for each trait

beta

list of joint effect estimates for models in STR; multi.beta output

NCORES

number of cores for parallel computing; recommend NCORES=M, but if on Windows, use NCORES=1;

Value

list of trait-adjusted posterior probabilities for each trait at sharing parameter kappa

Author

Jenn Asimit