&& instead of &
in C++ source.aggregate() to account
for change in R.DOUBLE_EPS -> DOUBLE_EPSILON.ldfast().win argument in ldfast(), which
implements the moment-based LD correction along a sliding window.type = "Dprime" was selected in ldfast(). Now
we just return NA’s for LD with monomorphic SNPs.ldfast_old() and ldfast_calc(),
which were not used in any exported functions, because these functions
had memory issues, detected by valgrind.ldfast(), a new LD estimation approach based on
sample moments of marginal posterior genotype moments.ldest(), mldest(), and
sldest(), the new approach implemented in
ldfast() is scalable to genome-wide applications, as these
new estimators can be calculated in linear time in the sample size."gam" are now
"hap".plot.lddf() was being
cut off.VariantAnnotation package. We also
provided examples on formatting genotype likelihoods from
updog and fitpoly.
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