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 0.23 Index]