R/RcppExports.R

In vglmer: Variational Inference for Hierarchical Generalized Linear Models

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

#' Linear Regression by Cholesky
#' 
#' Do linear regression of form solve(X^T O X + P, X^T y) where O is omega, P
#' is precision.
#' 
#' @keywords internal
#' 
#' @param X Design Matrix
#' @param omega Polya-Gamma weights
#' @param prior_precision Prior Precision for Regression
#' @param y Outcome
#' @param save_chol Save cholesky factor
LinRegChol <- function(X, omega, prior_precision, y, save_chol = TRUE) {
    .Call('_vglmer_LinRegChol', PACKAGE = 'vglmer', X, omega, prior_precision, y, save_chol)
}

calculate_expected_outer_alpha <- function(L, alpha_mu, re_position_list) {
    .Call('_vglmer_calculate_expected_outer_alpha', PACKAGE = 'vglmer', L, alpha_mu, re_position_list)
}

unique_rows <- function(m) {
    .Call('_vglmer_unique_rows', PACKAGE = 'vglmer', m)
}

prepare_Z_for_px <- function(Mmap) {
    .Call('_vglmer_prepare_Z_for_px', PACKAGE = 'vglmer', Mmap)
}

chol_sparse <- function(X, omega, precision) {
    .Call('_vglmer_chol_sparse', PACKAGE = 'vglmer', X, omega, precision)
}

cpp_zVz <- function(Z, V) {
    .Call('_vglmer_cpp_zVz', PACKAGE = 'vglmer', Z, V)
}

vecR_ridge_general <- function(L, pg_mean, Z, M, mapping_J, d, start_z, diag_only) {
    .Call('_vglmer_vecR_ridge_general', PACKAGE = 'vglmer', L, pg_mean, Z, M, mapping_J, d, start_z, diag_only)
}

vecR_design <- function(alpha_mu, Z, M, mapping_J, d, start_z) {
    .Call('_vglmer_vecR_design', PACKAGE = 'vglmer', alpha_mu, Z, M, mapping_J, d, start_z)
}

vecR_fast_ridge <- function(X, omega, prior_precision, y, adjust_y) {
    .Call('_vglmer_vecR_fast_ridge', PACKAGE = 'vglmer', X, omega, prior_precision, y, adjust_y)
}

vecR_ridge_new <- function(L, pg_mean, mapping_J, d, store_id, store_re_id, store_design, diag_only) {
    .Call('_vglmer_vecR_ridge_new', PACKAGE = 'vglmer', L, pg_mean, mapping_J, d, store_id, store_re_id, store_design, diag_only)
}