dvine6dsim {CopulaREMADA} | R Documentation |
Simulation from a six-variate 1-truncated D-vine copula
Description
Simulation from a six-variate 1-truncated D-vine copula.
Usage
dvine6dsim(nsim,tau,qcond,tau2par)
Arguments
nsim |
sample size |
tau |
Kendall's tau values |
qcond |
function for the inverse conditional copula cdf |
tau2par |
function for maping Kendall's taus to copula parameters |
Details
Choices are 'cop' in rcop are bvn, frk, cln, cln90 (rotated by 90 degrees cln), cln180 (rotated by 180 degrees cln), cln270 (rotated by 270 degrees cln).
See help page for qcondcop
for the abbreviations of the copula names.
Value
Nx6 matrix with values in (0,1)
References
Joe H (2011) Dependence comparisons of vine copulae with four or more variables. In: Kurowicka D, Joe H, editors. Dependence Modeling: Handbook on Vine Copulae. Singapore: World Scientific; 2011. p. 139–164
Joe H (2014) Dependence Modeling with Copulas. Chapman & Hall/CRC.
Joe H (2014) CopulaModel: Dependence Modeling with Copulas. Software for book: Dependence Modeling with Copulas, Chapman & Hall/CRC, 2014.
Nikoloulopoulos, A.K. (2024) Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence. Submitted.