pcondcop: Bivariate copula conditional distribution functions

In CopulaREMADA: Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies

Bivariate copula conditional distribution functions

Description

Bivariate copula conditional distribution functions

Usage

pcondbvn(v,u,cpar)
pcondfrk(v,u,cpar)
pcondcln(v,u,cpar)
pcondcln90(v,u,cpar)
pcondcln270(v,u,cpar)

Arguments

v	conditioning value in interval 0,1; could be a vector
u	value in interval 0,1; could be a vector
cpar	copula parameter: scalar.

Details

Choices appending 'cop' 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

inverse conditional cdf value(s)

References

Joe H (1997) Multivariate Models and Dependence Concepts. Chapman & Hall

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.

See Also

dcop rcop

CopulaREMADA documentation built on Oct. 18, 2024, 1:08 a.m.