simuCCP_para: Simulate Concordance Probability based on bivariate copula...
In elong0527/simuCPP: Simulate Concordance Probability, AUC and Time-Dependent AUC Based on Copula
Description
This function generate multivariate uniform distribution with designed copula family and
parameters (C-index, iAUC, AUC)
Usage
1
simuCCP_para(N, metric, family, par, c0 = 0.5)
Arguments
N
sample size
metric
simulate metric (C-index, iAUC, AUC)
family
A d*(d-1)/2 integer vector of C-vine pair-copula families (detail is in CDVineSim)
par
A d*(d-1)/2 vector of pair-copula parameters.
c0
prevalence; cutoff point of latent uniform parameter (Used in AUC)
elong0527/simuCPP documentation built on March 29, 2021, 10:03 a.m.
R Package Documentation
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Description
This function generate multivariate uniform distribution with designed copula family and parameters (C-index, iAUC, AUC)
Usage
1 | simuCCP_para(N, metric, family, par, c0 = 0.5)
|
Arguments
N |
sample size |
metric |
simulate metric (C-index, iAUC, AUC) |
family |
A d*(d-1)/2 integer vector of C-vine pair-copula families (detail is in |
par |
A d*(d-1)/2 vector of pair-copula parameters. |
c0 |
prevalence; cutoff point of latent uniform parameter (Used in AUC) |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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