R/mlevcm-package.R

#' \code{mlevcm}: ML-based Epidemiological Vector Control Monitoring using
#' FDA techniques for NIRS data
#'
#' The \code{mlevcm} package provides functions to train and test machine
#' learning models capable of predicting characteristics of epidemiological
#' interest of disease vectors (e.g., mosquitoes) such as age, species and
#' infectiousness from near-infrared spectra.
#'
#' @aliases mlevcm mlevcm-package
#'
#' @references
#' P.M. Esperança, Thomas S. Churcher (2019). "Machine learning based
#' epidemiological vector control monitoring using functional data analysis
#' techniques for near-infrared spectral data".
#' arXiv.
#'
#' P.T. Reiss, R.T. Ogden (2007). "Functional Principal Component Regression
#' and Functional Partial Least Squares".
#' Journal of the American Statistical Association, 102(479), 984-996
#'
#' @docType package
#' @name mlevcm-package
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pmesperanca/mlevcm documentation built on March 17, 2021, 10:03 p.m.