vcov_outcome.CBPSContinuous {CBPS}R Documentation

vcov_outcome

Description

vcov_outcome

Usage

## S3 method for class 'CBPSContinuous'
vcov_outcome(object, Y, Z, delta, tol = 10^(-5),
  lambda = 0.01)

Arguments

object

A fitted CBPS object.

Y

The outcome.

Z

The covariates (including the treatment and an intercept term) that predict the outcome.

delta

The coefficients from regressing Y on Z, weighting by the cbpsfit$weights.

tol

Tolerance for choosing whether to improve conditioning of the "M" matrix prior to conversion. Equal to 1/(condition number), i.e. the smallest eigenvalue divided by the largest.

lambda

The amount to be added to the diagonal of M if the condition of the matrix is worse than tol.

Value

Variance-Covariance Matrix for Outcome Model


[Package CBPS version 0.22 Index]