calcAdjPP.Rd
Calculates trait-adjusted posterior probabilities for all traits at sharing parameter kappa
calcAdjPP(
qt,
STR,
SS,
tau,
nsnpspermodel,
kappa,
PP,
beta,
SSy,
Sxy,
xcovo,
Mx,
N,
allVres,
covY,
Nqq,
Nq3,
Nq4,
fastapprox,
NCORES
)
vector of trait names
list consisting of vectors of model configurations for each trait
list consisting of lists of model configuration SNPs for each trait
matrix of adjustment terms
list of number of SNPs per model for each model in STR
single value of sharing parameter kappa
list consisting of vectors of posterior probabilities for the model configurations for each trait
list of joint effect estimates for models in STR; multi.beta output
matrix of trait cross-products
matrix with each column being the cross-product between SNPs and a trait
SNP covariance matrix
vector of SNP means
number of individuals with measurements for all traits
list of variance residuals
covariance matrix of traits
matrix of all pair-wise counts of number of individuals with both traits in a pair measured;
vector of counts of number of individuals with three traits measured; all triples considered; NULL if M < 4
vector of counts of number of individuals with four traits measured; all quadruples considered; NULL if M < 5
logical that is TRUE when fast approximation is used that does not include unequal sample size adjustments; default is FALSE
number of cores for parallel computing; recommend NCORES=M, but if on Windows, use NCORES=1;
list of trait-adjusted posterior probabilities for each trait at sharing parameter kappa