begIt: First iteration of the stored sample used for calculating statistics.
endIt: Last iteration of the stored sample used for calculating statistics.
thin: Every thin-th iteration of each chain is used to contribute to the statistics being calculated.
first, last: First/last chain of the stored sample used for calculating statistics.
Details
samplesSetBeg sets the first iteration of the stored sample used for calculating statistics to begIt.
samplesSetEnd sets the last iteration of the stored sample used for calculating statistics to endIt.
samplesSetThin sets the numerical field used to select every thin-th iteration of each chain to contribute to the statistics being calculated.
samplesSetFirstChain is used to set the first chain of the stored sample used for calculating statistics to be first.
samplesSetLastChain is used to set the last chain of the stored sample used for calculating statistics to be last.
Note
Note the difference between this and the thinning facility of the update function: when thinning via the update function we are permanently discarding samples as the MCMC simulation runs, whereas here we have already generated (and stored) a suitable number of (posterior) samples and may wish to discard some of them only temporarily. Thus, setting thin > 1 here will not have any impact on the storage (memory) requirements; if you wish to reduce the number of samples actually stored (to free-up memory) you should thin via the update function.