One-step update for obtaining the weight vector

optim_weights function for One-step update for obtaining estimator

Usage

optim_weights(
  X_l,
  X_u,
  Y_l,
  f_l,
  f_u,
  w,
  theta,
  quant = NA,
  method = c("ols", "quantile", "mean", "logistic", "poisson")
)

X_l: Array or data.frame containing observed covariates in labeled data.
X_u: Array or data.frame containing observed or predicted covariates in unlabeled data.
Y_l: Array or data.frame of observed outcomes in labeled data.
f_l: Array or data.frame of predicted outcomes in labeled data.
f_u: Array or data.frame of predicted outcomes in unlabeled data.
w: weights vector PSPA linear regression (d-dimensional, where d equals the number of covariates).
theta: parameter theta
quant: quantile for quantile estimation
method: indicates the method to be used for M-estimation. Options include "mean", "quantile", "ols", "logistic", and "poisson".

weights