Description Usage Arguments Value Note Examples
Efficiently draws samples from the posterior distribution of various correlation coefficients
1  bbcor(x, method = "pearson", iter = 5000, cores = 2)

x 
A matrix of dimensions n by p 
method 
Character string. Which correlation coefficient should be computed. One of "pearson" (default), "kendall", "spearman", "polychoric", "gaussian_rank", or "blomqvist" (i.e., median correlation). 
iter 
Numeric. How many posterior samples (defaults to 
cores 
Numeric. How many cores for parallel computing (defaults to 
cor_mean
: A matrix including the posterior mean
samps
: An array of dimensions p
by b
by iter
that includes the
sampled correlation matrices.
NAs are removed.
1 2 3 
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