Description Usage Format Source Examples
Contains simulated data for two cohorts taken from the seqMeta package. The individual genes are too small for this to be a good use of the leadingeigenvalue approximation, but the data at least allow basic numerical comparisons.
1 
This contains simulated data for two cohorts
Z1
,Z2
Genotype matrices for cohorts 1 and 2 respectively
pheno1
,pheno2
phenotype matrices for cohorts 1 and 2 respectively
The kinship matrix for cohort 2
https://github.com/DavisBrian/seqMeta
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16  data(seqMetaExample)
m<coxme::lmekin(y~sex+bmi+(1id),data=pheno2,varlist=2*kins,
x=TRUE,y=TRUE,method="REML")
#first gene
g1snps<c("1000001", "1000002", "1000003", "1000004", "1000005", "1000006",
"1000007", "1000008", "1000009", "1000010", "1000012", "1000013",
"1000014", "1000015")
Z2gene1<Z2[,g1snps]
f<famSKAT(Z2gene1, m, kins)
Q<f$Q()
all.equal(Q, 56681.209)
## correct p is 0.742756401
pQF(Q,f,neig=4)

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