summary,bdpnormal-method {bayesDP} | R Documentation |

## bdpnormal Object Summary

### Description

`summary`

method for class `bdpnormal`

.

### Usage

```
## S4 method for signature 'bdpnormal'
summary(object)
```

### Arguments

`object` |
object of class |

### Details

Displays a summary of the `bdpnormal`

fit including the input
data, the stochastic comparison between current and historical data, and
the resulting historical data weight (alpha). If historical data is missing
then no stochastic comparison nor weight are displayed.

In the case of a one-arm analysis, the displayed 95 percent CI contains the
lower and upper limits of the augmented mean value of the current data. The
displayed `mean of treatment group`

is the mean of the current data
augmented by the historical data.

When a control arm is present, a two-arm analysis is carried out. Now, the displayed 95 percent CI contains the lower and upper limits of the difference between the treatment and control arms with the historical data augmented to current data, if present. The displayed posterior sample estimates are the mean of the treatment and control arms, each of which are augmented when historical data are present.

*bayesDP*version 1.3.6 Index]