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#' sconduct: Generalized Path Analysis for Social Networks
#'
#' This package contains two categories of functions. The first category is concerned
#' with assigning values to user specified paths, while the second identifies
#' paths of optimal value.
#'
#' Key functions in the path value calculation category are
#' - \code{gpv}, which calculates Generalized Path Value
#' - \code{ppv}, which calculates Probabilistic Path Value
#' - \code{binary_distance}, \code{peay_path_value}, \code{flament_path_length},
#' \code{peay_average_path_value}, and \code{flament_average_path_length}, which
#' calculate path value measures described in \emph{Yang, Knoke} (2001).
#' - \code{generate_proximities}, which generates a matrix of values representing the
#' measures of optimal paths from each source node (row index) to each target node
#' (column index).
#'
#' Key functions in the optimal path identification category are
#' - \code{opt_gpv}, which identifies the path of optimal Generalized Path Value from
#' a particular source node to a particular target node
#' - \code{opt_ppv}, which identifies the path of optimal Probabilistic Path Value from
#' a particular source node to a particular target node
#' - \code{all_opt_gpv}, which identifies the 'gpv'-optimal paths from every source node
#' to every target node
#' - \code{all_opt_ppv}, which identifies the 'ppv'-optimal paths from every source node
#' to every target node
#' - \code{unpack}, which unpacks the Dijkstra-format encoded shortest paths returned by
#' \code{all_opt_gpv} and \code{all_opt_ppv}. See their help pages for details.
#'
#' @docType package
#' @name gretel
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## usethis namespace: start
#' @useDynLib gretel, .registration = TRUE
## usethis namespace: end
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## usethis namespace: start
#' @importFrom Rcpp sourceCpp
## usethis namespace: end
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