beta.draws.bma {BMS} | R Documentation |

## Coefficients of the Best Models

### Description

Returns a matrix whose columns are the (expected value or standard deviations of) coefficients for the best models in a bma object.

### Usage

```
beta.draws.bma(bmao, stdev = FALSE)
```

### Arguments

`bmao` |
a 'bma' object (as e.g. resulting from |

`stdev` |
if |

### Value

Each column presents the coefficients for the model indicated by its
column name. The zero coefficients are the excluded covariates per model.
Note that the coefficients returned are only those of the best (100) models
encountered by the `bma`

object (cf. argument `nmodels`

of
`bms`

).

For aggregate coefficients please refer to `coef.bma`

.

### Note

Note that the elements of `beta.draws.bma(bmao)`

correspond to
`bmao$topmod$betas()`

### See Also

`bms`

for creating bms objects, `coef.bma`

for aggregate coefficients

Check http://bms.zeugner.eu for additional help.

### Examples

```
#sample a bma object:
data(datafls)
mm=bms(datafls,burn=500,iter=5000,nmodel=20)
#coefficients for all
beta.draws.bma(mm)
#standard deviations for the fourth- to eight best models
beta.draws.bma(mm[4:8],TRUE);
```

*BMS*version 0.3.5 Index]