statistics.predictive {geoR}

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. [e-mail],
Peter J. Diggle [e-mail].

References

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