marginalpp | R Documentation |
Marginal PP for models sharing information between traits
marginalpp( STR, PP, mbeta, covY, SSy, Sxy, kappa, N, Nqq, nsnps, Mx, xcovo, Nq3, Nq4, fastapprox, NCORES )
STR |
list of models for traits 1, 2, ..., n, each given in
the form of a character vector, with entries
|
PP |
list of posterir probabilities for the models in M |
mbeta |
list of joint beta estimates for each trait |
covY |
trait covariance matrix |
SSy |
matrix of trait cross-products |
Sxy |
matrix with each column being the cross-product between SNPs and a trait |
kappa |
single value or vector of values to consider for the sharing scale parameter. the value of kappa=1 must be included, and if not will be prepended. |
N |
number of individiduals with measurements for all traits |
Nqq |
matrix in which Nqq[i,j] = number of individuals measured in both trait i and trait j |
nsnps |
number of snps in region |
Mx |
vector of SNP means |
xcovo |
SNP covariance matrix |
Nq3 |
vector of counts of number of individuals with three traits measured; all triples considered; NULL if M < 4 |
Nq4 |
vector of counts of number of individuals with four traits measured; all quadruples considered; NULL if M < 5 |
fastapprox |
logical that is TRUE when fast approximation is used that does not include unequal sample size adjustments; default is FALSE |
NCORES |
number of cores for parallel computing; recommend NCORES=M, but if on Windows, use NCORES=1 |
list of: - single.pp: list of pp for each model in
STR[[i]]
for trait i - shared.pp: list of pp for each model
in STR[[i]]
for trait i
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