# NOT RUN {
#to use example dataset:
data(MacrocnemisRawSeqs)
data(MacrocnemisCoordsLocs)
coordsLocs <- MacrocnemisCoordsLocs
rawSeqs <- MacrocnemisRawSeqs
## to use your own dataset
# rawSeqs <- bpec.loadSeq('Haplotypes.nex')
# coordsLocs <- bpec.loadCoords("coordsLocsFile.txt")
## to set phenotypic/environmental covariate names manually, use (as appropriate)
# colnames(coordsLocs)[1:dims] <- c('lat','long','cov1','cov2','cov3')
## where dims is the corresponding number of measurements available
## (2 for latitude and longitude only, add one for each additional available measurement)
#to run the MCMC sampler:
bpecout <- bpec.mcmc(rawSeqs, coordsLocs, maxMig = 2, iter = 50, ds = 0, postSamples = 5, dims = 8)
bpec.Geo <- bpec.geoTree(bpecout, file = "GoogleEarthTree.kml")
# }
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