ohun: Optimizing Acoustic Signal Detection

#' ohun: Optimizing sound event detection
#'
#' ohun is intended to facilitate the automated detection of sound events, providing functions to diagnose and optimize detection routines. Detections from other software can also be explored and optimized.
#'
#' The main features of the package are:
#'   \itemize{
#'   \item The use of reference annotations for detection optimization and diagnostic
#'   \item The use of signal detection theory diagnostic parameters to evaluate detection performance
#'   \item The batch processing of sound files for improve computational performance
#'   }
#'
#' The package offers functions for:
#'   \itemize{
#'   \item Energy-based detection
#'   \item Template-based detection
#'   \item Diagnose detection precision
#'   \item Improve detection by adjusting parameters to optimize accuracy
#'   }
#'
#' All functions allow the parallelization of tasks, which distributes the tasks among several processors to improve computational efficiency. The package works on sound files in '.wav', '.mp3', '.flac' and '.wac' format.
#'
#' @import warbleR
#' @import tuneR
#' @import seewave
#' @import fftw
#' @import graphics
#' @import grDevices
#' @import parallel
#' @import utils
#' @import methods
#' @import stats
#' @importFrom ggplot2 ggplot aes geom_point scale_color_manual facet_grid labs theme_bw geom_polygon scale_fill_manual scale_y_continuous theme_classic
#' @importFrom checkmate assert_logical assert_character assert_integerish assert_numeric assert_multi_class assert_list assert_function assert_class assert_directory assert_data_frame assert_names makeAssertCollection makeAssertionFunction reportAssertions
#' @importFrom rlang call_args
#' @importFrom cli style_bold style_italic make_ansi_style num_ansi_colors
#' @importFrom igraph max_bipartite_match E as_data_frame graph_from_incidence_matrix
#' @importFrom methods is
#' @importFrom sf st_polygon st_intersects st_as_sf
#' @importFrom tuneR writeWave
#' @importFrom stats cor weighted.mean
#' @importClassesFrom tuneR Wave
#' @author Marcelo Araya-Salas
#'
#'   Maintainer: Marcelo Araya-Salas (\email{marcelo.araya@@ucr.ac.cr})
#'
#' @docType package
#' @name ohun
#' @details License: GPL (>= 2)
#' @keywords internal
"_PACKAGE"
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