R/privateEC.R

In insilico/privateEC: Privacy Preserving Evaporative Cooling Feature Selection and Classification with Relief-F and Random Forests

#' Welcome to privateEC
#'
#' Package Algorithms
#' \describe{
#'   \item{Simulation}{simulate data sets: mainEffect/interactionErdos/interactionScalefree}
#'   \item{Classification}{privateEC and comparison algorithms}
#'   \item{nestedCV}{nested cross validation methods}
#'   \item{Workflow}{functions for reproducing paper analysis pipelines}
#' }
#' @docType package
#' @name privateEC-package
#' @references
#' Trang Le, W. K. Simmons, M. Misaki, B.C. White, J. Savitz, J. Bodurka, and
#' B. A. McKinney. “Differential privacy-based Evaporative Cooling feature selection
#' and classification with Relief-F and Random Forests,” Bioinformatics.
#' Accepted. https://doi.org/10.1093/bioinformatics/btx298. 2017.
#'
#' This work has been supported in part by NIMH/NIH grants (R01 MH098099 to JB,
#' and K01 MH096175 to WKS).
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