Nothing
mex <- function(data, which, mth, mqu, dqu, margins="laplace",constrain=TRUE,v=10,
penalty="gaussian", maxit=10000,
trace=0, verbose=FALSE, priorParameters=NULL){
theCall <- match.call()
if(is.null(colnames(data))){
colnames(data) <- paste(rep("Column",ncol(data)),1:ncol(data),sep="")
}
if (missing(which)){
which <- colnames(data)[1]
cat("which not given. Conditioning on", which, "\n")
}
if (missing(mth)){
if(length(mqu) == 1){
mqu <- rep(mqu, ncol(data))
}
if( length(mqu) != ncol(data)){
stop("mqu must be length 1 or length equal to the dimension of the data")
}
mth <- unlist(lapply(1:length(mqu), function(i, data, p){
quantile(data[, i], prob=p[i])
}, p=mqu, data=data))
}
res1 <- migpd(data=data, mth=mth, penalty=penalty,
maxit=maxit, trace=trace, verbose=verbose,
priorParameters=priorParameters)
if (missing(dqu)){
dqu <- res1$mqu[1]
}
res2 <- mexDependence(x= res1, which=which, dqu=dqu, margins=margins, constrain=constrain, v=v)
res2$call <- theCall
res2
}
print.mex <- function(x, ...){
print(x$call, ...)
cat("\n\nMarginal models:\n")
summary(x[[1]])
cat("\nDependence model:\n\n")
print(x[[2]])
invisible()
}
show.mex <- print.mex
summary.mex <- function(object, ...){
print(object, ...)
invisible(coef(object))
}
coefficients.mex <- function(object, ...){
res1 <- coef(object[[1]])
res2 <- coef(object[[2]]) # uses native coef method
list(margins=res1, dependence=res2)
}
coef.mex <- coefficients.mex
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