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#'@title Function to compute the bootstrapped statistics for the BKRS process
#'
#'
#'@description This function is used to compute bootstrapped statistics from the BKRS process in the non-sequential case
#'@param MC matrix needed for multipliers
#'@param MC1 matrices needed for multipliers
#'@param grad gradient of the copula
#'@param xi multipliers
#'@param s sequence of normalized values in (0,1)
#'@param n length of the series
#'@param d number of variables
#'
#'@author Bouchra R Nasri and Bruno N Remillard, August 6, 2020
#'
#'@return \item{statS}{Values of the Cramer-von Mises statistics}
#'@return \item{statT}{Values of the Kolmogorov-Smirnov statistics}
#'
#'
#'@keywords internal
#'
#'@export
#'
cpCopMultStatsBKRSNonSeq = function(MC,MC1,grad,xi,s,n,d)
{
out0 = .C("cpCopulaStatsMultBucherNonSeq",
as.double(MC),
as.double(MC1),
as.double(grad),
as.double(xi),
as.double(s),
as.integer(n),
as.integer(d),
statS = double(n),
statT = double(n),
PACKAGE = "changepointTests"
)
#out
}
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