For internal use within the haplo.stats library
haplo.em.fitter(n.loci, n.subject, weight, geno.vec, n.alleles,
max.haps, max.iter, loci.insert.order, min.posterior,
tol, insert.batch.size, random.start, iseed1, iseed2,
iseed3, verbose)number of loci in genotype matrix
number of subjects in the sample
numeric weights
vectorized genotype matrix
numeric vector giving number of alleles at each marker
maximum unique haplotypes in the sample
maximum iterations to perform in the fitter
order to insert loci for progressive insertion
after insertion and maximization, discard haplotype pairs per person that do not meet minimum posterior prob
convergence tolerance for E-M steps
number of markers to insert per batch
random seed for algorithm
random seed for algorithm
random seed for algorithm
logical, print long, verbose output from E-M steps?
For internal use within the haplo.stats library