# Utility functions for MCMC output analysis

### Description

Returns the mean, the standard deviation of the mean, and a sequence of partial means of the input vector or matrix.

### Usage

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### Arguments

`x` |
vector or matrix containing the output of a Markov chain Monte Carlo simulation. |

`sd` |
logical: should an estimate of the Monte Carlo standard deviation be reported? |

`m` |
ergodic means are computed for |

### Details

The argument `x`

is typically the output from a simulation. If a
matrix, rows are considered consecutive simulations of a target
vector. In this case means, standard deviations, and ergodic means
are returned for each column. The standard deviation of the mean is
estimated using Sokal's method (see the reference). `mcmcMeans`

is an alias for `mcmcMean`

.

### Author(s)

Giovanni Petris GPetris@uark.edu

### References

P. Green (2001). A Primer on Markov Chain Monte Carlo. In
*Complex Stochastic Systems*, (Barndorff-Nielsen, Cox and
Kl\"uppelberg, eds.). Chapman and Hall/CRC.

### Examples

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