R/cpp11.R

In capybara: Fast and Memory Efficient Fitting of Linear Models with High-Dimensional Fixed Effects

# Generated by cpp11: do not edit by hand

center_variables_ <- function(V_r, w_r, klist, tol, max_iter, iter_interrupt, iter_ssr, accel_start, project_tol_factor, grand_accel_tol, project_group_tol, irons_tuck_tol, grand_accel_interval, irons_tuck_interval, ssr_check_interval, convergence_factor, tol_multiplier) {
  .Call(`_capybara_center_variables_`, V_r, w_r, klist, tol, max_iter, iter_interrupt, iter_ssr, accel_start, project_tol_factor, grand_accel_tol, project_group_tol, irons_tuck_tol, grand_accel_interval, irons_tuck_interval, ssr_check_interval, convergence_factor, tol_multiplier)
}

felm_fit_ <- function(X_r, y_r, w_r, FEs, control) {
  .Call(`_capybara_felm_fit_`, X_r, y_r, w_r, FEs, control)
}

feglm_fit_ <- function(beta_r, eta_r, y_r, x_r, wt_r, theta, family, control, k_list) {
  .Call(`_capybara_feglm_fit_`, beta_r, eta_r, y_r, x_r, wt_r, theta, family, control, k_list)
}

feglm_offset_fit_ <- function(eta_r, y_r, offset_r, wt_r, family, control, k_list) {
  .Call(`_capybara_feglm_offset_fit_`, eta_r, y_r, offset_r, wt_r, family, control, k_list)
}

fenegbin_fit_ <- function(X_r, y_r, w_r, FEs, link, beta_r, eta_r, init_theta, control) {
  .Call(`_capybara_fenegbin_fit_`, X_r, y_r, w_r, FEs, link, beta_r, eta_r, init_theta, control)
}

group_sums_ <- function(M_r, w_r, jlist) {
  .Call(`_capybara_group_sums_`, M_r, w_r, jlist)
}

group_sums_spectral_ <- function(M_r, v_r, w_r, K, jlist) {
  .Call(`_capybara_group_sums_spectral_`, M_r, v_r, w_r, K, jlist)
}

group_sums_var_ <- function(M_r, jlist) {
  .Call(`_capybara_group_sums_var_`, M_r, jlist)
}

group_sums_cov_ <- function(M_r, N_r, jlist) {
  .Call(`_capybara_group_sums_cov_`, M_r, N_r, jlist)
}