R/fullsniplings.R

#' Full-sibling inference from biallelic markers (like SNPs)
#'
#' \code{fulsniplings} is a package in development.  It implements
#' some new statistical perspectives and optimized computational
#' tools to do MCMC over the posterior distribution of pedigrees
#' given genetic data.
#' 
#' Geared toward datasets with many individuals and about 100 SNPs which are
#' treated as if they are unlinked. (While that is clearly false, it might be
#' reasonable). The name derives from the fact that the idea for the approach
#' taken here came to me when I was working on sibling inference issues.  It
#' became clear that being able to compute the posterior predictive
#' distribution of genotypes conditional on observed sibling groups would be a
#' powerful way forward in the sibling inference problem. I will eventually generalize
#' that to more general pedigree inference, but for now just want to implement
#' the easy full-sibling case as a prototypical exercise.
#' 
#' It really is just in development at the moment
#' 
#'
#' @docType package
#' @name fullsniplings
#' @useDynLib fullsniplings
#' @importFrom Rcpp sourceCpp
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eriqande/fullsniplings documentation built on May 16, 2019, 8:45 a.m.