Compute the measure of association known as the Spearman Footrule \(\psi_\mathbf{C}\) (Nelsen et al., 2001, p. 281), which is defined as
$$\psi_\mathbf{C} = \frac{3}{2}\mathcal{Q}(\mathbf{C},\mathbf{M}) - \frac{1}{2}\mbox{,}$$
where \(\mathbf{C}(u,v)\) is the copula, \(\mathbf{M}(u,v)\) is the Fréchet--Hoeffding upper bound (M
), and \(\mathcal{Q}(a,b)\) is a concordance function (concordCOP
) (Nelsen, 2006, p. 158). The \(\psi_\mathbf{C}\) in terms of a single integration pass on the copula is
$$\psi_\mathbf{C} = 1 - \int_{\mathcal{I}^2} |u-v|\,\mathrm{d}\mathbf{C}(u,v) = 6 \int_0^1 \mathbf{C}(u,u)\,\mathrm{d}u - 2\mbox{.}$$
Note, Nelsen et al. (2001) use \(\phi_\mathbf{C}\) but that symbol is taken in copBasic for the Hoeffding Phi (hoefCOP
), and Spearman Footrule does not seem to appear in Nelsen (2006). From the definition, Spearman Footrule only depends on the primary diagnonal (alt. main diagonal, Genest et al., 2010) of the copula, \(\mathbf{C}(t,t)\) (diagCOP
).
footCOP(cop=NULL, para=NULL, by.concordance=FALSE, as.sample=FALSE, ...)
The value for \(\psi_\mathbf{C}\) is returned.
A copula function;
Vector of parameters or other data structure, if needed, to pass to the copula;
Instead of using the single integral to compute \(\psi_\mathbf{C}\), use the concordance function method implemented through concordCOP
; and
A logical controlling whether an optional R data.frame
in para
is used to compute the \(\hat\psi\) (see Note); and
Additional arguments to pass, which are dispatched to the copula function cop
and possibly concordCOP
, such as brute
or delta
used by that function.
W.H. Asquith
Genest, C., Nešlehová, J., and Ghorbal, N.B., 2010, Spearman's footrule and Gini's gamma---A review with complements: Journal of Nonparametric Statistics, v. 22, no. 8, pp. 937--954, tools:::Rd_expr_doi("10.1080/10485250903499667").
Nelsen, R.B., 2006, An introduction to copulas: New York, Springer, 269 p.
Nelsen, R.B., Quesada-Molina, J.J., Rodríguez-Lallena, J.A., Úbeda-Flores, M., 2001, Distribution functions of copulas---A class of bivariate probability integral transforms: Statistics and Probability Letters, v. 54, no. 3, pp. 277--282, tools:::Rd_expr_doi("10.1016/S0167-7152(01)00060-8").
blomCOP
, giniCOP
, hoefCOP
,
rhoCOP
, tauCOP
, wolfCOP