Bivariate Copula Functions Based on Regular Grid

Estimates grid type bivariate copula functions, calculates some association measures and provides several copula graphics.


GRIDCOPULA

Proyecto sobre GRIDCOPULA

Instalar el paquete

devtools::install_github("rogelio-sg/GRIDCOPULA@prueba",
                         auth_token = "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")

Ejemplo

library(GRIDCOPULA)
library(copBasic)

U <- simCOP(n = 1000, cop = CLcop, para = 5)
gc <- estimate.gridCopula(U = U, k = 7, m = 8)

measures.grid(gc) #Calcular todas las medidas
measures.grid(gc, measures = c("rho","tau","mi")) #Calcular solo rho, tau e información mutua

Reference manual

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install.packages("GRIDCOPULA")

1.1.2 by Rogelio Salinas Gutiérrez, 2 months ago


Browse source code at https://github.com/cran/GRIDCOPULA


Authors: Rogelio Salinas Gutiérrez [aut, cre, cph] (ORCID: , Angélica Hernández Quintero [aut, cph] (ORCID: , Pedro Abraham Montoya Calzada [aut, cph] (ORCID:


Documentation:   PDF Manual  


GPL-3 license


Imports Rsolnp, fields, limSolve, ggplot2, pracma, reshape2, evmix


Imported by MLCOPULA.


See at CRAN