exceedProbs

vector of threshold levels for the indicator function

threshold

default 'upper' giving exceedance probabilities, alternative is 'lower', which gives 'subordinate probabilities'

direction

This function can be called using <code>MonteCarloAverage</code> (see <code>fun3</code> the examples in the help file for
<a href="/link/MonteCarloAverage?package=lgcp&version=1.3-8" rd-options="" data-mini-rdoc="lgcp::MonteCarloAverage">MonteCarloAverage</a>). It computes exceedance probabilities,
$$P[\exp(Y_{t_1:t_2})>k],$$
that is the probability that the relative reisk exceeds threshold $k$. Note that it is possible
to pass vectors of tresholds to the function, and the exceedance probabilities will be computed for each
of these.

Spatial and spatio-temporal modelling of point patterns using the
    log-Gaussian Cox process. Bayesian inference for spatial, spatiotemporal,
    multivariate and aggregated point processes using Markov chain Monte Carlo.

exceedProbs: exceedProbs function

Description

Usage

Arguments

Value

See Also