R/RcppExports.R

In BayesSpace: Clustering and Resolution Enhancement of Spatial Transcriptomes

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

iterate <- function(Y, df_j, nrep, n, d, gamma, q, init, mu0, lambda0, alpha, beta) {
    .Call(`_BayesSpace_iterate`, Y, df_j, nrep, n, d, gamma, q, init, mu0, lambda0, alpha, beta)
}

iterate_vvv <- function(Y, df_j, nrep, n, d, gamma, q, init, mu0, lambda0, alpha, beta) {
    .Call(`_BayesSpace_iterate_vvv`, Y, df_j, nrep, n, d, gamma, q, init, mu0, lambda0, alpha, beta)
}

iterate_t <- function(Y, df_j, nrep, n, d, gamma, q, init, mu0, lambda0, alpha, beta) {
    .Call(`_BayesSpace_iterate_t`, Y, df_j, nrep, n, d, gamma, q, init, mu0, lambda0, alpha, beta)
}

iterate_t_vvv <- function(Y, df_j, nrep, n, d, gamma, q, init, mu0, lambda0, alpha, beta) {
    .Call(`_BayesSpace_iterate_t_vvv`, Y, df_j, nrep, n, d, gamma, q, init, mu0, lambda0, alpha, beta)
}

iterate_deconv <- function(Y, df_j, tdist, nrep, n, n0, d, gamma, q, init, subspots, verbose, jitter_scale, c, mu0, lambda0, alpha, beta) {
    .Call(`_BayesSpace_iterate_deconv`, Y, df_j, tdist, nrep, n, n0, d, gamma, q, init, subspots, verbose, jitter_scale, c, mu0, lambda0, alpha, beta)
}