Compute the product copula (Nelsen, 2006, p. 12), which is defined as
$$\mathbf{\Pi}(u,v) = uv\mbox{.}$$
This is the copula of statistical independence between $U$ and $V$ and is sometimes referred to as the independence copula. The two extreme antithesis copulas are the Fréchet--Hoeffding upper-bound (<code>M</code>) and Fréchet--Hoeffding lower-bound (<code>W</code>) copulas.

Extensive functions for bivariate copula (bicopula) computations and related operations
for bicopula theory. The lower, upper, product, and select other bicopula are implemented along
with operations including the diagonal, survival copula, dual of a copula, co-copula, and
numerical bicopula density. Level sets, horizontal and vertical sections are supported. Numerical
derivatives and inverses of a bicopula are provided through which simulation is implemented.
Bicopula composition, convex combination, asymmetry extension, and products also are provided.
Support extends to the Kendall Function as well as the Lmoments thereof. Kendall Tau,
Spearman Rho and Footrule, Gini Gamma, Blomqvist Beta, Hoeffding Phi, Schweizer-
Wolff Sigma, tail dependency, tail order, skewness, and bivariate Lmoments are implemented, and
positive/negative quadrant dependency, left (right) increasing (decreasing) are available.
Other features include Kullback-Leibler Divergence, Vuong Procedure, spectral measure, and
Lcomoments for inference, maximum likelihood, and AIC, BIC, and RMSE for goodness-of-fit.

William Asquith

copBasic

General Bivariate Copula Theory and Many Utility Functions

P function

The Product (Independence) Copula — P

<dl>

 <dt>u</dt>
<dd>Nonexceedance probability $u$ in the $X$ direction;</dd>

 <dt>v</dt>
<dd>Nonexceedance probability $v$ in the $Y$ direction; and</dd>

 <dt>...</dt>
<dd>Additional arguments to pass.</dd>

</dl>

P: The Product (Independence) Copula

Description

Usage

Arguments

Value

References

See Also