View source: R/reconstruction.R

reconstruction | R Documentation |

`reconstruction`

returns the full data reconstruction based on given
posterior samples.

```
reconstruction(res, average = TRUE)
```

`res` |
The sampled model from function |

`average` |
If TRUE (default), averages the reconstruction over the posterior predictive samples. If set to FALSE, the output may require a large amount of memory. In case of large input data, we recommend acquiring the posterior predictive samples for subsets of data at a time, based on this implementation. |

The data reconstruction, a numeric `N \times \sum_{m=1}^M D_m`

matrix, if average is TRUE (default). Otherwise, the reconstruction is a
`N \times \sum_{m=1}^M D_m \times Npost`

array, with posterior samples
in the third dimension. If the input data has been paired in two modes, the
output will be a list of length 2, one element corresponding to each mode.

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