R中的混合系词

您在这里有多个问题:

1. RVM是一个列表.但是，您try 在一个列表中容纳RVinePIT个数据，而它一次只能处理一个数据.
2. 同样的道理也适用于y强.

我没有您的数据，但请try 使用其他数据.

以下是代码(它应该可以工作):

  library(vineclust)
  library(VineCopula)
data1 <- read.csv("D:/ASTUDY/Rlanguage/Mix copula/data.csv", header = FALSE)
fit <- vcmm(data = data, total_comp=3,is_cvine = 0)
print(fit)
summary(fit) 
RVMs_fitted <- list()
RVMs_fitted[[1]] <- RVineMatrix(Matrix=fit$output$vine_structure[,,1],
                                            family=fit$output$bicop_familyset[,,1],
                                            par=fit$output$bicop_param[,,1],
                                            par2=fit$output$bicop_param2[,,1])
RVMs_fitted[[2]] <- RVineMatrix(Matrix=fit$output$vine_structure[,,2],
                                            family=fit$output$bicop_familyset[,,2],
                                            par=fit$output$bicop_param[,,2],
                                            par2=fit$output$bicop_param2[,,2])
RVMs_fitted[[3]] <- RVineMatrix(Matrix=fit$output$vine_structure[,,3],
                                            family=fit$output$bicop_familyset[,,3],
                                            par=fit$output$bicop_param[,,3],
                                            par2=fit$output$bicop_param2[,,3])
RVM<-RVMs_fitted

meanx <- c(0.47,0.508,0.45,0.52,0.48)
sigmax <- c(0.318,0.322,0.296,0.29,0.279)
ux1<-pnorm(x[1],meanx[1],sigmax[1])
ux2<-pnorm(x[2],meanx[2],sigmax[2])
ux3<-pnorm(x[3],meanx[3],sigmax[3])
ux4<-pnorm(x[4],meanx[4],sigmax[4])
ux5<-pnorm(x[5],meanx[5],sigmax[5])
data <- c(ux1,ux2,ux3,ux4,ux5)### This must be a matrix to work with RVinePIT
du=lapply(1:3, function(i) RVinePIT(data, RVM[[i]]))
y <-lapply(1:3, function(i) t(qnorm(t(du[[i]]))))