thinAndBurn: Process Metropolis output from GPD fitting to discard unwanted observations.
Description
Process observations from Metropolis fitting of GPD models, to thin the output and discard observations from burn-in period.
Usage
## S3 method for class 'bgpd':
thinAndBurn(object, burn, thin)
Arguments
object
Object of class 'bgpd' as returned by gpd called with method="simulate".
thin
thin or its reciprocal must be a positive integer. If integer valued, this specifies the frequency of observations from the simulated Markov Chain which will be retained. If specified as a proportion, this is the proportion of values which
burn
The number of observations from the simulated Markov Chain to be discarded as burn-in. Must be a non-negative integer, for no burn in use burn=0.
Value
Object of class bgpd. See Value returned by gpd using method = "simulate" for details.