Function reference • rMGLReg

All functions
`Afunction()`	the Pickands dependence function \(A\) in survival MGL-EV copula
`pcMGLEV.bivar()` `dcMGLEV.bivar()` `pcMGLEV180.bivar()` `dcMGLEV180.bivar()` `hcMGLEV180.bivar()` `hcMGLEV.bivar()`	Bivarite MGL-EV and survival MGL-EV copula
`dcMGL.bivar()` `pcMGL.bivar()` `rcMGL.bivar()` `dcMGL180.bivar()` `pcMGL180.bivar()` `rcMGL180.bivar()`	Bivarite MGL and survival MGL copula
`dcMGL.multi()` `dcMGL180.multi()` `pcMGL.multi()` `pcMGL180.multi()` `rcMGL.multi()` `rcMGL180.multi()`	d-dimensional MGL and survival MGL copula
`dMGLMGA()`	The bivariate GLMGA distribution
`earthqCHI`	Chinese earthquake loss data set
`dGLMGA()` `pGLMGA()` `qGLMGA()` `rGLMGA()`	The GLMGA distribution
`hcMGL.bivar()` `hcMGL180.bivar()`	Conditional Distribution Function of a Bivariate MGL and survival Copula
`dcMGB2.bivar()` `pcMGB2.bivar()` `hcMGB2.bivar()`	Bivarite MGB2 copula
`MGL.mle.mixed()`	Fitting bivariate MGL copula models for mixed data
`MGL.mle()`	Fitting bivariate MGL copula models for two continuous data
`MGL.reg.mixed()`	Fitting bivariate mixed MGL and MGL-EV copula regression models.
`MGL.reg()`	Fitting bivariate/multivariate MGL and MGL-EV copula regression models.

Reference