Description Usage Arguments Value Author(s) See Also Examples

View source: R/summarisePosteriors.R

Given posterior likelihoods for each model, we can calculate the expected number of genomic events corresponding to each model (and to each ordering within each model) by summing the posterior likelihoods.

1 | ```
summarisePosteriors(cD, orderings = TRUE)
``` |

`cD` |
A |

`orderings` |
Indicates whether models should be split by orderings of the data under the model (defaults to TRUE). |

Numeric vector of expected number of genomic events belonging to each model (optionally, split by orderings).

Thomas J. Hardcastle

1 2 3 4 5 6 7 | ```
# We load in a `countData' object containing the estimated posterior
# likelihoods of expression (see `getLikelihoods').
data(CDPost)
# summarise the expected number of genomic events in each category
summarisePosteriors(CDPost)
``` |

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