cal.pc.linear           Calculate linear principal component analysis
                        (PCA) from numeric data and Single-nucleotide
                        polymorphism (SNP) dataset
cal.pc.projection       Calculate linear principal component analysis
                        (PCA) with a projection method for
                        Single-nucleotide polymorphism (SNP) dataset.
fst.each.snp.hudson     Calculate the fixation index (Fst) for all SNPs
                        between two groups of individuals from
                        Single-nucleotide polymorphism (SNP)
fst.hudson              Calculate the average fixation index (Fst)
                        between two groups of individuals from
                        Single-nucleotide polymorphism (SNP)
plot3views              Create scatter plots in three views.
read.bed                Read the binary PLINK format (BED, BIM, and
                        FAM)
replace.missing         (Internal) Replace missing values with other
                        values,internally used for parallelization
rubikclust              Unsupervised clustering to detect rough
                        structures and outliers.
sample_labels           Synthetic dataset containing population labels
                        for the dataset simsnp.
simsnp                  Synthetic dataset containing single nucleotide
                        polymorphisms (SNP)
write.bed               Write a list of SNP object to the binary PLINK
                        format (BED, BIM, and FAM)
xxt                     Calculate matrix multipication between a matrix
                        and its transpose for large data.
