Description Usage Arguments Details References Examples

This function returns the Monte Carlo Standard Error (MCSE).

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`model` |
A |

`...` |
Currently not used. |

`effects` |
Should results for fixed effects, random effects or both be returned? Only applies to mixed models. May be abbreviated. |

`component` |
Should results for all parameters, parameters for the conditional model or the zero-inflated part of the model be returned? May be abbreviated. Only applies to brms-models. |

`parameters` |
Regular expression pattern that describes the parameters
that should be returned. Meta-parameters (like |

**Monte Carlo Standard Error (MCSE)** is another measure of
accuracy of the chains. It is defined as standard deviation of the chains
divided by their effective sample size (the formula for `mcse()`

is
from Kruschke 2015, p. 187). The MCSE “provides a quantitative
suggestion of how big the estimation noise is”.

Kruschke, J. (2014). Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan. Academic Press.

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