A thin wrapper around qpadm_p with rnk set to zero
test_cladality(f2_data, left, right, fudge = 1e-04, boot = FALSE, cpp = TRUE)Left populations (sources)
Right populations (outgroups)
Value added to diagonal matrix elements before inverting
If FALSE (the default), block-jackknife resampling will be used to compute standard errors.
Otherwise, block-bootstrap resampling will be used to compute standard errors. If boot is an integer, that number
will specify the number of bootstrap resamplings. If boot = TRUE, the number of bootstrap resamplings will be
equal to the number of SNP blocks.
Use C++ functions. Setting this to FALSE will be slower but can help with debugging.