CBPS: vcov_outcome.CBPSContinuous – R documentation

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vcov_outcome.CBPSContinuous

vcov_outcome

vcov_outcome

## 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

Covariate Balancing Propensity Score

v0.22

GPL (>= 2)

Authors

Christian Fong [aut, cre], Marc Ratkovic [aut], Kosuke Imai [aut], Chad Hazlett [ctb], Xiaolin Yang [ctb], Sida Peng [ctb]

Initial release

2021-03-28