Nothing
#' Asymptotic Covariance Matrix of the Sample Covariance Matrix
#' (Asymptotic Distribution Free - Unbiased)
#'
#' @author Ivan Jacob Agaloos Pesigan
#'
#' @param gammacapadf_consistent Numeric matrix.
#' Consistent estimate of the asymptotic distribution-free covariance matrix.
#' @param gammacapmvn_consistent Numeric matrix.
#' Asymptotic covariance matrix
#' of the consistent estimator of the sample covariance
#' assuming multivariate normal distribution.
#' @param vechsigmacap_consistent Numeric vector.
#' Half-vectorization of the consistent covariance matrix.
#' @param n Integer.
#' Sample size.
#'
#' @family gammaADF Functions
#' @keywords gammaADF gamma internal
#' @noRd
.GammaADFUnbiased <- function(gammacapadf_consistent,
gammacapmvn_consistent,
vechsigmacap_consistent,
n) {
return(
(
(
(
n * (n - 1)
) / (
(n - 2) * (n - 3)
)
) * gammacapadf_consistent
) - (
(
n / (
(n - 2) * (n - 3)
)
) * (
gammacapmvn_consistent - (
(
2 / (n - 1)
) * tcrossprod(
vechsigmacap_consistent
)
)
)
)
)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.