output.glm.control: Defines output options
In geoRglm: A Package for Generalised Linear Spatial Models

Description Usage Arguments Value Author(s) See Also

This auxiliary function defines output options for pois.krige.bayes, binom.krige.bayes and glsm.krige (not all arguments have an effect for the later).

1 2	output.glm.control(sim.posterior, sim.predict, keep.mcmc.sim, quantile, threshold, inference, messages)

`sim.posterior`	logical. Indicates whether or not the MCMC-sample from the posterior distribution of the parameters should be returned for `pois.krige.bayes` and `binom.krige.bayes`. Default is `sim.posterior = TRUE`.
`sim.predict`	logical. Defines whether simulations are drawn from the predictive distribution. Only valid if prediction locations are provided in the argument `locations`. Default is `sim.predict = FALSE`.
`keep.mcmc.sim`	logical. Indicates whether or not the MCMC-sample from the posterior distribution of the signal should be returned for `pois.krige.bayes` and `binom.krige.bayes`. Here the signal is the inverse link function of the random effect g^{-1}(S), which equals exp(S) for the Poison model with log-link, (lambda S + 1)^{lambda} for the Poison model with Box-Cox-link and exp(S)/(1+exp(S)) for the binomial model with logit-link. Default is `keep.mcmc.sim = TRUE`.
`quantile`	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 object `quantile`, which contains values of corresponding estimated quantiles. For example, if `quantile = c(0.25,0.50,0.75)` the function returns the quartiles of the distributions at each of the prediction locations. The default is `quantile = TRUE` where the values `c(0.025, 0.5, 0.975)` are used. If `quantile = FALSE` no quantiles are computed (and hence neither median nor uncertainty is included in the output). Only used if prediction locations are provided in the argument `locations`. Not implemented for `glsm.krige`.
`threshold`	one or more values with threshold values can be given to this argument. If so, an object called `probability` is included in the output. This object contains, for each prediction location, the probability that the variable is less than or equal to the threshold value given in the argument. Default is that nothing is computed. Not implemented for `glsm.krige`.
`inference`	logical. Indicates whether or not inference (summary of the parameters, and prediction) is performed or not. Default is `inference=TRUE`. Setting `inference=FALSE` is useful in an initial stage, when tuning the MCMC algorithm (choosing `S.scale` and `phi.scale` appropriate). Not implemented for `glsm.krige`.
`messages`	logical. Indicates whether or not status messages are printed on the screen (or other output device) while the function is running.