Nothing
# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393
auc_sorted <- function(x, y) {
.Call(`_bigstatsr_auc_sorted`, x, y)
}
auc_sorted_tab <- function(x, y, w) {
.Call(`_bigstatsr_auc_sorted_tab`, x, y, w)
}
boot_auc_sorted_tab <- function(x, y, n_boot) {
.Call(`_bigstatsr_boot_auc_sorted_tab`, x, y, n_boot)
}
conv_NA_float <- function(source) {
.Call(`_bigstatsr_conv_NA_float`, source)
}
extractVec <- function(BM, elemInd) {
.Call(`_bigstatsr_extractVec`, BM, elemInd)
}
extractMat <- function(BM, rowInd, colInd) {
.Call(`_bigstatsr_extractMat`, BM, rowInd, colInd)
}
replaceVecOne <- function(xpbm, elemInd, val) {
invisible(.Call(`_bigstatsr_replaceVecOne`, xpbm, elemInd, val))
}
replaceVec <- function(xpbm, elemInd, vec) {
invisible(.Call(`_bigstatsr_replaceVec`, xpbm, elemInd, vec))
}
replaceMatOne <- function(xpbm, rowInd, colInd, val) {
invisible(.Call(`_bigstatsr_replaceMatOne`, xpbm, rowInd, colInd, val))
}
replaceMat <- function(xpbm, rowInd, colInd, mat) {
invisible(.Call(`_bigstatsr_replaceMat`, xpbm, rowInd, colInd, mat))
}
replaceDF <- function(xpbm, rowInd, colInd, df) {
invisible(.Call(`_bigstatsr_replaceDF`, xpbm, rowInd, colInd, df))
}
getXPtrFBM <- function(path, n, m, type) {
.Call(`_bigstatsr_getXPtrFBM`, path, n, m, type)
}
getXPtrFBM_RW <- function(path, n, m, type) {
.Call(`_bigstatsr_getXPtrFBM_RW`, path, n, m, type)
}
increment_scaled_tcrossprod <- function(K, part_temp, BM, rowInd, colInd, center, scale) {
invisible(.Call(`_bigstatsr_increment_scaled_tcrossprod`, K, part_temp, BM, rowInd, colInd, center, scale))
}
prod_FBM_block_mat <- function(BM, Y, rowInd, colInd, max_size) {
.Call(`_bigstatsr_prod_FBM_block_mat`, BM, Y, rowInd, colInd, max_size)
}
cprod_FBM_block_mat <- function(BM, Y, rowInd, colInd, max_size) {
.Call(`_bigstatsr_cprod_FBM_block_mat`, BM, Y, rowInd, colInd, max_size)
}
prod_FBM_mat <- function(BM, A) {
.Call(`_bigstatsr_prod_FBM_mat`, BM, A)
}
prod_mat_FBM <- function(A, BM) {
.Call(`_bigstatsr_prod_mat_FBM`, A, BM)
}
crossprod_FBM <- function(BM) {
.Call(`_bigstatsr_crossprod_FBM`, BM)
}
crossprod_FBM_mat <- function(BM, A) {
.Call(`_bigstatsr_crossprod_FBM_mat`, BM, A)
}
crossprod_mat_FBM <- function(A, BM) {
.Call(`_bigstatsr_crossprod_mat_FBM`, A, BM)
}
tcrossprod_FBM <- function(BM) {
.Call(`_bigstatsr_tcrossprod_FBM`, BM)
}
tcrossprod_FBM_mat <- function(BM, A) {
.Call(`_bigstatsr_tcrossprod_FBM_mat`, BM, A)
}
tcrossprod_mat_FBM <- function(A, BM) {
.Call(`_bigstatsr_tcrossprod_mat_FBM`, A, BM)
}
COPY_cdfit_gaussian_hsr <- function(BM, y, row_idx, col_idx, covar, lambda, center, scale, pf, resid, alpha, eps, max_iter, dfmax, row_idx_val, covar_val, y_val, n_abort, nlam_min) {
.Call(`_bigstatsr_COPY_cdfit_gaussian_hsr`, BM, y, row_idx, col_idx, covar, lambda, center, scale, pf, resid, alpha, eps, max_iter, dfmax, row_idx_val, covar_val, y_val, n_abort, nlam_min)
}
COPY_cdfit_binomial_hsr <- function(BM, y, base, row_idx, col_idx, covar, lambda, center, scale, pf, resid, alpha, eps, max_iter, dfmax, row_idx_val, covar_val, y_val, base_val, n_abort, nlam_min) {
.Call(`_bigstatsr_COPY_cdfit_binomial_hsr`, BM, y, base, row_idx, col_idx, covar, lambda, center, scale, pf, resid, alpha, eps, max_iter, dfmax, row_idx_val, covar_val, y_val, base_val, n_abort, nlam_min)
}
bigsummaries <- function(BM, row_idx, col_idx, covar, y, which_set, K) {
.Call(`_bigstatsr_bigsummaries`, BM, row_idx, col_idx, covar, y, which_set, K)
}
bigcolvars <- function(BM, rowInd, colInd, ncores) {
.Call(`_bigstatsr_bigcolvars`, BM, rowInd, colInd, ncores)
}
mycount1 <- function(BM, rowInd, colInd, codeInd) {
.Call(`_bigstatsr_mycount1`, BM, rowInd, colInd, codeInd)
}
mycount2 <- function(BM, rowInd, colInd, codeInd) {
.Call(`_bigstatsr_mycount2`, BM, rowInd, colInd, codeInd)
}
GET_ERROR_TYPE <- function() {
.Call(`_bigstatsr_GET_ERROR_TYPE`)
}
GET_ERROR_DIM <- function() {
.Call(`_bigstatsr_GET_ERROR_DIM`)
}
GET_ERROR_BOUNDS <- function() {
.Call(`_bigstatsr_GET_ERROR_BOUNDS`)
}
pMatVec4 <- function(BM, x, rowInd, colInd, ncores) {
.Call(`_bigstatsr_pMatVec4`, BM, x, rowInd, colInd, ncores)
}
cpMatVec4 <- function(BM, x, rowInd, colInd, ncores) {
.Call(`_bigstatsr_cpMatVec4`, BM, x, rowInd, colInd, ncores)
}
transpose3 <- function(BM, BM2) {
invisible(.Call(`_bigstatsr_transpose3`, BM, BM2))
}
univLinReg5 <- function(BM, covar_U, y, rowInd, colInd, ncores) {
.Call(`_bigstatsr_univLinReg5`, BM, covar_U, y, rowInd, colInd, ncores)
}
IRLS <- function(BM, covar, y, z0, w0, rowInd, colInd, tol, maxiter) {
.Call(`_bigstatsr_IRLS`, BM, covar, y, z0, w0, rowInd, colInd, tol, maxiter)
}
centering <- function(source, mean) {
.Call(`_bigstatsr_centering`, source, mean)
}
incr_FBM_mat <- function(BM, mat) {
invisible(.Call(`_bigstatsr_incr_FBM_mat`, BM, mat))
}
incr_FBM_vec <- function(BM, vec) {
invisible(.Call(`_bigstatsr_incr_FBM_vec`, BM, vec))
}
scaleK <- function(BM, sums, mu, delta, nrow) {
invisible(.Call(`_bigstatsr_scaleK`, BM, sums, mu, delta, nrow))
}
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