R/RcppExports.R

In symphony: Efficient and Precise Single-Cell Reference Atlas Mapping

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

exp_mean <- function(x, p, i, ncol, nrow, groups, group_sizes) {
    .Call('_symphony_exp_mean', PACKAGE = 'symphony', x, p, i, ncol, nrow, groups, group_sizes)
}

log_vmr <- function(x, p, i, ncol, nrow, means, groups, group_sizes) {
    .Call('_symphony_log_vmr', PACKAGE = 'symphony', x, p, i, ncol, nrow, means, groups, group_sizes)
}

normalizeCLR_dgc <- function(x, p, i, ncol, nrow, margin) {
    .Call('_symphony_normalizeCLR_dgc', PACKAGE = 'symphony', x, p, i, ncol, nrow, margin)
}

scaleRowsWithStats_dgc <- function(x, p, i, mean_vec, sd_vec, ncol, nrow, thresh) {
    .Call('_symphony_scaleRowsWithStats_dgc', PACKAGE = 'symphony', x, p, i, mean_vec, sd_vec, ncol, nrow, thresh)
}

scaleRows_dgc <- function(x, p, i, ncol, nrow, thresh) {
    .Call('_symphony_scaleRows_dgc', PACKAGE = 'symphony', x, p, i, ncol, nrow, thresh)
}

rowMeansWeighted_dgc <- function(x, p, i, weights, ncol, nrow) {
    .Call('_symphony_rowMeansWeighted_dgc', PACKAGE = 'symphony', x, p, i, weights, ncol, nrow)
}

rowSDs_dgc <- function(x, p, i, mean_vec, ncol, nrow, do_sqrt) {
    .Call('_symphony_rowSDs_dgc', PACKAGE = 'symphony', x, p, i, mean_vec, ncol, nrow, do_sqrt)
}

rowVarSDs_dgc <- function(x, p, i, mean_vec, sd_vec, vmax, ncol, nrow, do_sqrt) {
    .Call('_symphony_rowVarSDs_dgc', PACKAGE = 'symphony', x, p, i, mean_vec, sd_vec, vmax, ncol, nrow, do_sqrt)
}

rowSDsWeighted_dgc <- function(x, p, i, mean_vec, weights, ncol, nrow, do_sqrt) {
    .Call('_symphony_rowSDsWeighted_dgc', PACKAGE = 'symphony', x, p, i, mean_vec, weights, ncol, nrow, do_sqrt)
}

cosine_normalize_cpp <- function(V, dim) {
    .Call('_symphony_cosine_normalize_cpp', PACKAGE = 'symphony', V, dim)
}

soft_kmeans_cpp <- function(Y, Z, max_iter, sigma) {
    .Call('_symphony_soft_kmeans_cpp', PACKAGE = 'symphony', Y, Z, max_iter, sigma)
}

soft_cluster <- function(Y, Z, sigma) {
    .Call('_symphony_soft_cluster', PACKAGE = 'symphony', Y, Z, sigma)
}

compute_ref_cache <- function(Rr, Zr) {
    .Call('_symphony_compute_ref_cache', PACKAGE = 'symphony', Rr, Zr)
}

moe_correct_ref <- function(Zq, Xq, Rq, Nr, RrZtr) {
    .Call('_symphony_moe_correct_ref', PACKAGE = 'symphony', Zq, Xq, Rq, Nr, RrZtr)
}

get_betas <- function(R, Z, lambda, design) {
    .Call('_symphony_get_betas', PACKAGE = 'symphony', R, Z, lambda, design)
}