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#' @title
#' PPMiss: Copula-Based Estimator for Long-Range Dependent Processes under Missing Data.
#'
#' @description
#' The PPMiss package provides functions for parameter estimation of univariate
#' time series by means of a parametric copula approach. The methodology is based
#' on the relationship between the process' covariance decay and a parametric
#' bivariate copulas associated to lagged variables.
#'
#' @author Taiane Schaedler Prass \email{taianeprass@@gmail.com} and Guilherme Pumi \email{guipumi@@gmail.com}
#' @docType package
#' @name PPMiss.Package
#' @useDynLib PPMiss, .registration=TRUE
#' @aliases PPMis
#' @keywords internal
"_PACKAGE"
#'
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#> NULL
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