To perform GWAS with MLM model and get the P value of SNPs
MVP.MLM(phe, geno, K=NULL, CV=NULL, REML=NULL, priority="speed", genoName=NULL, cpu=2, vc.method="EMMA",
maxLine=1000, file.output=TRUE, memo="MVP")
phenotype, n * 2 matrix
genotype, m * n, m is marker size, n is population size
covariates
Kinship, Covariance matrix(n * n) for random effects; must be positive semi-definite
a list that contains ve and vg
speed or memory
name of genotype file, when priority is memory, it is used for attach bigmatrix under windows platform
number of cpus used for parallel computation
the methods for estimating variance component("emma" or "gemma")
when the priority is 'memory', users can change this parameter to limit the memory
whether to output files or not
a marker on output file name