samplesSetting {BRugs} | R Documentation |
Change settings used for calculations
Description
These low level functions can be used to set begin, end, and thinning of chains as well as the first/last chain of the stored sample.
Usage
samplesSetBeg(begIt)
samplesSetEnd(endIt)
samplesSetThin(thin)
samplesSetFirstChain(first)
samplesSetLastChain(last)
Arguments
begIt |
First iteration of the stored sample used for calculating statistics. |
endIt |
Last iteration of the stored sample used for calculating statistics. |
thin |
Every |
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.