summary.ZIPBayes {ZIPBayes}

Summarizing the trace output from the MCMC algorithm

Description

This function is a method for ZIPBayes object. It summarize the trace output from the main functions into interesting summary statistics, such as mean, median, confidence interval, and highest density region (HDR),

Usage

## S3 method for class 'ZIPBayes'

## S3 method for class 'ZIPBayes'
summary(object, burnin = 1, thinperiod = 1, confidence.level = 0.95, ...) 

Arguments

object

the “ZIPBayes” object gotten from the main function.

burnin

the number of records to be discarded as the early period of MCMC algorithm. Default is 1, meaning the first data point will be discarded when calculating the summary statistics.

thinperiod

the number of period in the thining periord. The results will be picked every this number. Default is 1, meaning no thining will be done. See details.

confidence.level

the confidence level for the constructed confidence interval. Default is 0.95.

...

other arguments passed to the function.

Details

This function summarizes the tracing results produced by ZIP, ZIPMErr, ZIPExt, and ZIPInt. To diminish the influence of the starting values, we generally discard the first portion of each sequence and focus attention on the remaining. The argument burnin is set to control the number of steps to be discarded.

Another issue that sometimes arises, once approximate convergence has been reached, is whether to thin the sequences by keeping every k-th simulation draw from each sequence and discarding the rest. The argument thinperiod is used to set k here.

Value

ZIPBayes

a list of summary for each data set. "HDR_LB" and "HDR_UB" respectively respresents the lower and upper bound of the high density region.

Author(s)

Qihuang Zhang and Grace Y. Yi.

See Also

ZIP, ZIPMErr, ZIPExt, ZIPInt

Examples

## Please see the example in ZIP() function