R/RcppExports.R

In LuisLauM/imagine: IMAGing engINEs, Tools for Application of Image Filters to Data Matrices

# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393

#' @importFrom Rcpp evalCpp
#' @useDynLib imagine, .registration = TRUE
NULL

engine1_2dConv <- function(data, kernel) {
    .Call(`_imagine_engine1_2dConv`, data, kernel)
}

#' @importFrom Rcpp evalCpp
#' @importFrom RcppArmadillo armadillo_version
#' @useDynLib imagine, .registration = TRUE
NULL

engine6_agenbag1 <- function(data) {
    .Call(`_imagine_engine6_agenbag1`, data)
}

engine7_agenbag2 <- function(data, threshold = 3L) {
    .Call(`_imagine_engine7_agenbag2`, data, threshold)
}

#' @importFrom Rcpp evalCpp
#' @useDynLib imagine, .registration = TRUE
NULL

engine5_CMF <- function(data, i_size = 3L, o_size = 5L) {
    .Call(`_imagine_engine5_CMF`, data, i_size, o_size)
}

#' @importFrom Rcpp evalCpp
#' @importFrom RcppArmadillo armadillo_version
#' @useDynLib imagine, .registration = TRUE
NULL

engine2_convWithQuantiles <- function(data, kernel, probs) {
    .Call(`_imagine_engine2_convWithQuantiles`, data, kernel, probs)
}

#' @importFrom Rcpp evalCpp
#' @useDynLib imagine, .registration = TRUE
NULL

engine3_meanFilter <- function(data, radius) {
    .Call(`_imagine_engine3_meanFilter`, data, radius)
}

#' @importFrom Rcpp evalCpp
#' @importFrom RcppArmadillo armadillo_version
#' @useDynLib imagine, .registration = TRUE
NULL

engine4_quantileFilter <- function(data, radius, probs) {
    .Call(`_imagine_engine4_quantileFilter`, data, radius, probs)
}