adegenet version 2.1.2

This version of adegenet introduces several bugfixes (including a fix for mis-calculation of likelihood for haploids in snapclust) including a large speedup in the df2genind() function thanks to Klaus Schliep.

This version also introduces Zhian N. Kamvar as the acting maintainer

NEW MANAGEMENT

• Zhian N. Kamvar is now the acting maintainer of the package.

NEW FEATURES

• While creating genind from dataframe, it is now possible to skip
  the test of the ploidy that was added in 2.1.1 by passing the option
  check.ploidy = FALSE to the function df2genind. Thanks to Frederic Michaud
  for the fix. See #231 and
  #232 for details

• showmekittens() has gained several new kittens thanks to @rdecamp

• A new data set called swallowtails has been added to demonstrate the
  export to MVmapper functionality.

BUG FIXES

• A bug where the number of alleles per locus was unaffected after subsetting
  a population with drop = FALSE has been fixed. Now, by default, the
  @loc.n.all slot (accessor: nAll()) will store the number of observed
  alleles in the current data set, regardless of whether or not these were
  dropped from the data matrix.
  See #234 for details.

• seppop() will now take into account NA population assignments with the
  new keepNA argument.
  See #236 for details.

• snapclust() likelihood calculation was incorrect for haploids. This has
  been fixed in commits 3a5f820 and
  e41d2d5.

MISC

• snapclust() will give a better warning message when the number of
  samples in the dataset exceeds computer precision. See
  #221 for details.

• df2genind() now imports data >100x faster
  (@KlausVigo, https://github.com/thibautjombart/adegenet/pulls/260)