cvinesim {CopulaREMADA} | R Documentation |
Simulation from a trivariate C-vine copula
Description
Simulation from a trivariate C-vine copula
Usage
cvinesim(N,param,qcondcop12,qcondcop13,qcondcop23,
tau2par12,tau2par13,tau2par23)
Arguments
N |
sample size |
param |
Kendall's tau values for margins (1,2), (1,3), (23|1) |
qcondcop12 |
function for the inverse of conditional copula cdf at the (1,2) bivariate margin |
qcondcop13 |
function for the inverse of conditional copula cdf at the (1,3) bivariate margin |
qcondcop23 |
function for the inverse of conditional copula cdf at the (2,3|1) bivariate margin |
tau2par12 |
function for maping Kendall's tau at the (1,2) bivariate margin to copula parameter |
tau2par13 |
function for maping Kendall's tau at the (1,3) bivariate margin to copula parameter |
tau2par23 |
function for maping Kendall's tau at the (2,3|1) bivariate margin to the conditional copula parameter |
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 dcop
for the abbreviations of the copula names.
Value
Nx3 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.