Description Usage Arguments Value
View source: R/analytic_vcov.R
vcov_outcome
1 2 | ## S3 method for class 'CBPSContinuous'
vcov_outcome(object, Y, Z, delta, tol = 10^(-5), lambda = 0.01)
|
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. |
Variance-Covariance Matrix for Outcome Model
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.