pistar_by_chain {COMBO} | R Documentation |

## Compute the Mean Conditional Probability of Correct Classification, by True Outcome Across all Subjects for each MCMC Chain

### Description

Compute the Mean Conditional Probability of Correct Classification, by True Outcome Across all Subjects for each MCMC Chain

### Usage

```
pistar_by_chain(n_chains, chains_list, Z, n, n_cat)
```

### Arguments

`n_chains` |
An integer specifying the number of MCMC chains to compute over. |

`chains_list` |
A numeric list containing the samples from |

`Z` |
A numeric design matrix. |

`n` |
An integer value specifying the number of observations in the sample.
This value should be equal to the number of rows of the design matrix, |

`n_cat` |
The number of categorical values that the true outcome, |

### Value

`pistar_by_chain`

returns a numeric matrix of the average
conditional probability `P(Y^* = j | Y = j, Z)`

across all subjects for
each MCMC chain. Rows of the matrix correspond to MCMC chains, up to `n_chains`

.
The first column contains the conditional probability `P(Y^* = 1 | Y = 1, Z)`

.
The second column contains the conditional probability `P(Y^* = 2 | Y = 2, Z)`

.

*COMBO*version 1.0.0 Index]