Description Usage Arguments Value Examples

Calculate posterior proportion of cases by component

1 | ```
posterior_cases(model, case_control, alpha = 1, beta = 1)
``` |

`model` |
An instance of a |

`case_control` |
A vector of 1's and 0's where a 1 indicates a case and a 0 a control |

`alpha` |
prior alpha for the beta |

`beta` |
prior beta for the beta |

A matrix of dimension S (MCMC iterations) by K (number of components) where each element i,j indicates the posterior proportion of cases at an iteration and component

1 2 3 4 5 6 7 | ```
## Not run:
# generate random case control status
case_control <- rbinom(length(y(SingleBatchModelExample)), 1, 0.5)
case_control_posterior <- posterior_cases(SingleBatchModelExample,
case_control)
## End(Not run)
``` |

CNPBayes documentation built on Nov. 1, 2018, 4:47 a.m.

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