tau_p | R Documentation |
Computes the estimator for Kendall's tau_b for zero inflated continuous data proposed by Pimentel(2009).
tau_p(x, y, estimator = "values", p11 = 0, p01 = 0, p10 = 0)
x, y |
vectors to be correlated. Must be numeric and have the same length. |
estimator |
string indicating how the parameters $p_11$, $p_01$, $p_10$ are to be estimated. The default is 'values', which indicates that they are estimated based on the entries of x and y. If estimates=='own', the $p_ji$'s must be given as arguments. |
p11 |
probability that a bivariate observation is of the type (m,n), where m,n>0. Default is 0. |
p01 |
probability that a bivariate observation is of the type (0,n), where n>0.Default is 0. |
p10 |
probability that a bivariate observation is of the type (n,0), where n>0.Default is 0. |
correlation values
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