statistics.predictive {geoR} | R Documentation

## Summary statistics from predictive distributions

### Description

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

### 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` | mean at each prediction location.
`variance` | variance at each prediction location.
`quantiles` | quantiles, at each prediction location.
`probabilities` | probabilities, at each prediction location, of been below the provided threshold.
`sim.means` | vector with means of each conditional simulation.
`sim.vars` | vector with variances of each conditional simulation.

### Author(s)

Paulo J. Ribeiro Jr. paulojus@leg.ufpr.br,
Peter J. Diggle p.diggle@lancaster.ac.uk.

### References

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

[Package geoR version 1.6-19 Index]