as.conditional.probs {TRONCO} | R Documentation

## as.conditional.probs

### Description

Extract the conditional probabilities from a TRONCO model. The return matrix is indexed with rownames which represent genotype keys - these can be resolved with function `keysToNames`. It is possible to specify a subset of events to build the matrix, a subset of models if multiple reconstruction have been performed. Also, either the observed or fit probabilities can be extracted.

### Usage

    as.conditional.probs(
      x,
      events = as.events(x),
      models = names(x$model),
      type = "observed"
    )

### Arguments

`x` | A TRONCO model.
`events` | A subset of events as of `as.events(x)`, all by default.
`models` | A subset of reconstructed models, all by default.
`type` | observed ('observed')

### Details

#' @examples data(test_model) as.conditional.probs(test_model) as.conditional.probs(test_model, events=as.events(test_model)[5:15,])

### Value

The conditional probabilities in a TRONCO model.

[Package TRONCO version 2.26.0 Index]