# statistics.predictive

##### Summary statistics from predictive distributions

Computes summaries based on simulations of predictive distribution
returned by
`krige.bayes`

and `krige.conv`

.

- Keywords
- spatial

##### Usage

```
statistics.predictive(simuls, mean.var = TRUE, quantile, threshold,
sim.means, sim.vars)
```

##### Arguments

- simuls
object with simulations from the predictive distribution

- mean.var
Logical. Indicates whether or not to compute mean and variances of the simulations at each location.

- quantile
defines quantile estimator. See documentation for

`output.control`

.- threshold
defines probability estimator. See documentation for

`output.control`

.- sim.means
Logical. Indicates whether or not to compute the mean of of the conditional simulations.

- sim.vars
Logical. Indicates whether or not to compute the variances of the conditional simulations.

##### Value

A list with one ore more of the following components.

mean at each prediction location.

variance at each prediction location.

quantiles, at each prediction location.

probabilities, at each prediction location, of been below the provided threshold.

vector with means of each conditional simulation.

vector with variances of each conditional simulation.

##### References

Further information on the package geoR can be found at: http://www.leg.ufpr.br/geoR.

*Documentation reproduced from package geoR, version 1.8-1, License: GPL (>= 2)*