Usage
output.control(n.posterior, n.predictive, moments, n.back.moments,
simulations.predictive, mean.var, quantile,
threshold, signal, messages.screen)Arguments
n.posterior
number of samples to be taken from the posterior
distribution. Defaults to 1000.
n.predictive
number of samples to be taken from the
predictive distribution. Default equals to
n.posterior.
moments
logical. Indicates whether the moments of the
predictive distribution are returned. If lambda = 1
there is no transformation/back-transformation.
If \lambda= 0 or lambda = 0.5 the moments are
back-tra
n.back.moments
number of sample to back-transform moments by
simulation. Defaults to 1000.
simulations.predictive
logical. Defines whether to draw simulations
from the predictive distribution. Only valid if prediction
locations are provided on the argument locations.
mean.var
logical (optional). Indicates whether mean and
variances of the simulations of the predictive distributions are
computed and returned.
quantile
a (optional) numeric vector.
If provided indicates whether quantiles of the
simulations from the
predictive distributions are computed and returned.
If a vector with numbers in the interval
$[0,1]$ is provided, the output includes the
threshold
a (optional) numerical vector.
If one or more values are provided, object named
probabilities is included in the output.
This object contains, for each
prediction location, the probability that the variable is less
than or
signal
logical. If TRUE the signal is predicted, otherwise the
variable is predicted. If no transformation is performed the
expectations are the same in both cases and
the kriging variances are different when the nugget parameter
is
messages.screen
logical. Indicates
whether or not status messages are printed on the output device
while the function is running. Defalts to TRUE.