## aggregate.CompoundReport


What a compound calculation produced and the error it introduced.


Usage


``` python
aggregate.CompoundReport()
```


Returned with the aggregate grid by [panjer](aggregate.panjer.md#prospicio.aggregate.panjer) and [fft](aggregate.fft.md#prospicio.aggregate.fft). Read [aliasing_error](aggregate.CompoundReport.md#prospicio.aggregate.CompoundReport.aliasing_error) first for FFT results: when it is not negligible the grid is unreliable, including [tail_mass](aggregate.CompoundReport.md#prospicio.aggregate.CompoundReport.tail_mass).


## Attributes

| Name | Description |
|----|----|
| [aliasing_error](#aliasing_error) | Largest change in any probability when the FFT buffer doubles; 0 for |
| [expected_mean](#expected_mean) | `E[N] * E[X]` on the severity grid. |
| [grid_mean](#grid_mean) | Mean of the aggregate grid. |
| [method](#method) | Method: `"panjer"` or `"fft"`. |
| [points](#points) | Number of points in the aggregate grid. |
| [tail_mass](#tail_mass) | Aggregate probability above the last point, lumped onto it. |

------------------------------------------------------------------------


#### aliasing_error


Largest change in any probability when the FFT buffer doubles; 0 for


`aliasing_error: float`


Panjer.


------------------------------------------------------------------------


#### expected_mean


`E[N] * E[X]` on the severity grid.


`expected_mean: float`


------------------------------------------------------------------------


#### grid_mean


Mean of the aggregate grid.


`grid_mean: float`


------------------------------------------------------------------------


#### method


Method: `"panjer"` or `"fft"`.


`method: str`


------------------------------------------------------------------------


#### points


Number of points in the aggregate grid.


`points: int`


------------------------------------------------------------------------


#### tail_mass


Aggregate probability above the last point, lumped onto it.


`tail_mass: float`


## Methods

| Name | Description |
|----|----|
| [mean_error()](#mean_error) | `grid_mean - expected_mean`. |

------------------------------------------------------------------------


#### mean_error()


`grid_mean - expected_mean`.


Usage


``` python
mean_error()
```


##### Returns


`float`