statistics, genetic differentiation statistics, and locus informativeness
It also provides users with various option to calculate
bootstrapped 95\% confidence intervals both across loci,
for pairwise population comparisons, and to plot these results interactively.
Parallel computing capabilities and pairwise results without
Weir and Cockerham's 1984 F-statistics are also calculated.
Various plotting features are also provided, as well as Chi-square tests of
genetic heterogeneity are also provided.
Functionality for the calculation of various diversity parameters is
possible for RAD-seq derived SNP data sets containing thousands of marker loci.
A shiny application for the development of microsatellite multiplexes is
Suggests: xlsx, sendplot, plotrix, parallel, HWxtest
Imports: ggplot2, shiny, qgraph, Rcpp, methods, stats, grid

Also calculates F-statistics from Weir and Cockerham (1984).
Various plotting features are provided, as well as Chi-square tests of

Title: Evolutionary Trait Divergence Between Sister Species and Other
Maintainer: Sean A. S. Anderson <seanas.anderson@mail.utoronto.ca>
Author: Sean A. S. Anderson and Jason T. Weir
Description: Compares alternative models of continuous trait differentiation in sister species and other paired lineages. Alternative models include approximations of divergent selection, drift, and stabilizing selection, plus a variety of extensions to facilitate the testing of process-to-pattern hypotheses. Alternative processes are expected to leave unique signatures in the distribution of trait differentiation in datasets comprised of many species pairs. Users supply species pair trait data and divergence times. The fit of alternative models is compared in a likelihood framework.

Description: Compares the fit of alternative models of continuous trait differentiation between sister species and other paired lineages. Differences in trait means between two lineages arise as they diverge from a common ancestor, and alternative processes of evolutionary divergence are expected to leave unique signatures in the distribution of trait differentiation in datasets comprised of many lineage pairs. Models include approximations of divergent selection, drift, and stabilizing selection. A variety of model extensions facilitate the testing of process-to-pattern hypotheses. Users supply trait data and divergence times for each lineage pair. The fit of alternative models is compared in a likelihood framework.