CI_gamma1_evidence {BeviMed} | R Documentation |

## Estimate confidence interval for estimated marginal likelihood

### Description

Central limit theorem not applicable so use simulation to estimate confidence interval for evidence.

### Usage

```
CI_gamma1_evidence(
temperatures,
y_log_lik_t_equals_1_traces,
confidence = 0.95,
simulations = 1000
)
```

### Arguments

`temperatures` |
Numeric vector of temperatures of power posteriors. One chain will be created for each element of the vector at the corresponding temperature. |

`y_log_lik_t_equals_1_traces` |
Numeric matrix of log probabilities of |

`confidence` |
Numeric value of statistical confidence with which returning interval should contain the true value. |

`simulations` |
Integer value of number of simulations to use in estimation of the confidence interval. |

### Value

Confidence interval as numeric vector of length 2.

[Package

*BeviMed*version 5.10 Index]