sim_data {causaldrf} | R Documentation |

## Simulated data from Schafer and Galagate (2015)

### Description

Simulated data used in the paper "Causal inference with a continuous treatment and outcome: alternative estimators for parametric dose-response models".

### Usage

```
data(sim_data)
```

### Format

A data frame with 1000 rows and 20 variables:

### Details

A dataset containing sim_data.

### Value

`(A.1, A.2, A.3, A.4, A.5, A.6, A.7, A.8)`

are the true measured covariates.

`(B.1, B.2, B.3, B.4, B.5, B.6, B.7, B.8)`

are the transformed covariates.

`T` |
treatment |

`Theta.1` |
unit level intercept |

`Theta.2` |
unit level slope |

`Y` |
outcome |

### Source

use the `draw_sample`

function

### References

Schafer, J.L., Galagate, D.L. (2015). Causal inference with a
continuous treatment and outcome: alternative estimators for parametric
dose-response models. *Manuscript in preparation*.

### Examples

```
## Example from Schafer (2015).
data(sim_data)
head(sim_data)
```

[Package

*causaldrf*version 0.4.2 Index]