R/RcppExports.R

In RStoolbox: Remote Sensing Data Analysis

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

classQA <- function(x, rcl) {
    .Call('_RStoolbox_classQA', PACKAGE = 'RStoolbox', x, rcl)
}

entropyCpp <- function(x) {
    .Call('_RStoolbox_entropyCpp', PACKAGE = 'RStoolbox', x)
}

gainOffsetRescale <- function(x, g, o, clamp) {
    .Call('_RStoolbox_gainOffsetRescale', PACKAGE = 'RStoolbox', x, g, o, clamp)
}

availableRAMCpp <- function(ram) {
    .Call('_RStoolbox_availableRAMCpp', PACKAGE = 'RStoolbox', ram)
}

nnls_solver <- function(x, A, iterate = 400L, tolerance = 0.000001) {
    .Call('_RStoolbox_nnls_solver', PACKAGE = 'RStoolbox', x, A, iterate, tolerance)
}

normImageCpp <- function(x, M, S) {
    .Call('_RStoolbox_normImageCpp', PACKAGE = 'RStoolbox', x, M, S)
}

oneHotCpp <- function(x, classes, bg, fg, na_rm) {
    .Call('_RStoolbox_oneHotCpp', PACKAGE = 'RStoolbox', x, classes, bg, fg, na_rm)
}

predKmeansCpp <- function(x, centers, returnDistance = FALSE) {
    .Call('_RStoolbox_predKmeansCpp', PACKAGE = 'RStoolbox', x, centers, returnDistance)
}

predictMlcCpp <- function(newdata, model, nclasses) {
    .Call('_RStoolbox_predictMlcCpp', PACKAGE = 'RStoolbox', newdata, model, nclasses)
}

pwSimilarityCpp <- function(img, ref, method) {
    .Call('_RStoolbox_pwSimilarityCpp', PACKAGE = 'RStoolbox', img, ref, method)
}

rescaleImageCpp <- function(x, scal, xmin, ymin) {
    .Call('_RStoolbox_rescaleImageCpp', PACKAGE = 'RStoolbox', x, scal, xmin, ymin)
}

specSimC <- function(x, em) {
    .Call('_RStoolbox_specSimC', PACKAGE = 'RStoolbox', x, em)
}

spectralIndicesCpp <- function(x, indices, redBand, blueBand, greenBand, nirBand, redEdge1Band, redEdge2Band, redEdge3Band, swir1Band, swir2Band, swir3Band, maskLayer, maskValue, L, s, G, C1, C2, Levi, swir2ccc, swir2cdiff, sf) {
    .Call('_RStoolbox_spectralIndicesCpp', PACKAGE = 'RStoolbox', x, indices, redBand, blueBand, greenBand, nirBand, redEdge1Band, redEdge2Band, redEdge3Band, swir1Band, swir2Band, swir3Band, maskLayer, maskValue, L, s, G, C1, C2, Levi, swir2ccc, swir2cdiff, sf)
}