ipd (version 0.1.4)

Sigma_cal: Variance-covariance matrix of the estimation equation

Description

Sigma_cal function for variance-covariance matrix of the estimation equation

Usage

Sigma_cal(
  X_lab,
  X_unlab,
  Y_lab,
  Yhat_lab,
  Yhat_unlab,
  w,
  theta,
  quant = NA,
  method
)

Value

variance-covariance matrix of the estimation equation

Arguments

X_lab

Array or data.frame containing observed covariates in labeled data.

X_unlab

Array or data.frame containing observed or predicted covariates in unlabeled data.

Y_lab

Array or data.frame of observed outcomes in labeled data.

Yhat_lab

Array or data.frame of predicted outcomes in labeled data.

Yhat_unlab

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".