mcmcSummary: Computes MCMC summary statistics.

View source: R/utils_bayes.R

mcmcSummaryR Documentation

Computes MCMC summary statistics.

Description

Computes MCMC summary statistics.

Usage

mcmcSummary(x, HPDIprob, frac1 = 0.1, frac2 = 0.5)

Arguments

x

A R x n matrix with R draws of n variables.

HPDIprob

The probability mass of the HPDI, a scalar between zero and one.

frac1

The probability mass of the first interval used for the Geweke test, a scalar between zero and one.

frac2

The probability mass of the second interval used for the Geweke test, a scalar between zero and one.

Details

Naturally, frac1 + frac2 is between zero and one.

Value

A data frame with the following columns

Mean

The posterior mean.

Median

The posterior median.

SD

Standard deviation.

HPDI-LB

Highest posterior density credible interval lower bound

HPDI-UB

Highest posterior density credible interval upper bound

Naive SE

Naive Standard error of the mean (ignoring chain autocorrelation.

Time-series SE

Time-series standard error (based on spectral density at 0).

Geweke statistic

The Geweke test statistic.

frac1

The fraction of data contained in the first interval.

frac2

The fraction of data contained in the second interval.


RGAP documentation built on Nov. 2, 2023, 6:02 p.m.