hdCBPS {CBPS} | R Documentation |

## hdCBPS high dimensional CBPS method to parses the formula object and passes the result to hdCBPS.fit, which calculates ATE using CBPS method in a high dimensional setting.

### Description

hdCBPS high dimensional CBPS method to parses the formula object and passes the result to hdCBPS.fit, which calculates ATE using CBPS method in a high dimensional setting.

### Usage

```
hdCBPS(
formula,
data,
na.action,
y,
ATT = 0,
iterations = 1000,
method = "linear"
)
```

### Arguments

`formula` |
An object of class formula (or one that can be coerced to that class): a symbolic description of the model to be fitted. |

`data` |
An optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model. If not found in data, the variables are taken from environment(formula), typically the environment from which CBPS is called. |

`na.action` |
A function which indicates what should happen when the data contain NAs. The default is set by the na.action setting of options, and is na.fail if that is unset. |

`y` |
An outcome variable. |

`ATT` |
Option to calculate ATT |

`iterations` |
An optional parameter for the maximum number of iterations for the optimization. Default is 1000. |

`method` |
Choose among "linear", "binomial", and "possion". |

### Value

`ATT` |
Average treatment effect on the treated. |

`ATE` |
Average treatment effect. |

`s` |
Standard Error. |

`fitted.values` |
The fitted propensity score |

`coefficients1` |
Coefficients for the treated propensity score |

`coefficients0` |
Coefficients for the untreated propensity score |

`model` |
The model frame |

### Author(s)

Sida Peng

*CBPS*version 0.23 Index]