statistics.predictive: Summary statistics from predictive distributions

Description

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

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

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.

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.

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