method : str (default=’markov’)
Select between “markov”, for automatically generated random
strings, and “shuffle”, for random strings taken directly from the
data.
ratio : tuple (default=3,2)
Define the ratio between derived and original score for
sound-matches.
vscale : float (default=0.5)
Define a scaling factor for vowels, in order to decrease their
score in the calculations.
runs : int (default=1000)
Choose the number of random runs that shall be made in order to
derive the random distribution.
threshold : float (default=0.7)
The threshold which used to select those words that are compared in
order to derive the attested distribution.
modes : list (default = [(“global”,-2,0.5),(“local”,-1,0.5)])
The modes which are used in order to derive the distributions from
pairwise alignments.
factor : float (default=0.3)
The scaling factor for sound segments with identical prosodic
environment.
force : bool (default=False)
Force recalculation of existing distribution.
preprocessing: bool (default=False) :
Select whether SCA-analysis shall be used to derive a preliminary
set of cognates from which the attested distribution shall be
derived.
rands : int (default=1000)
If “method” is set to “markov”, this parameter defines the number
of strings to produce for the calculation of the random
distribution.
limit : int (default=10000)
If “method” is set to “markov”, this parameter defines the limit
above which no more search for unique strings will be carried out.
cluster_method : {“upgma” “single” “complete”} (default=”upgma”)
Select the method to be used for the calculation of cognates in the
preprocessing phase, if “preprocessing” is set to c{True}.
gop : int (default=-2)
If “preprocessing” is selected, define the gap opening penalty for
the preprocessing calculation of cognates.
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