Iteratively reweighted least squares function for null – newton method for the null model — irls_iter_nt_null • PACS

Iteratively reweighted least squares function for null – newton method for the null model

Usage

irls_iter_nt_null(
  y_vec,
  xdumm,
  theta_estimated,
  hold_zero,
  tolerance = .Machine$double.eps^0.5,
  stop_criteria = 1e-05,
  q_vec
)

Arguments

y_vec: Observed counts
xdumm: Design matrix
theta_estimated: Estimated coefficient values
hold_zero: Which element to hold zero in the null model
tolerance: Numeric tolerance for matrix to be considered not revertable, default = .Machine$double.eps^0.5
stop_criteria: Resolution to stop, default = 1e-6
q_vec: Capturing probability vector

Value

Converged coefficient estimate for the null model