summary.betaclust {betaclust} | R Documentation |

## Summarizing the beta mixture model fits

### Description

Summary method for a `betaclust`

object containing the results under the optimal model selected.

### Usage

```
## S3 method for class 'betaclust'
summary(object, ...)
```

### Arguments

`object` |
A |

`...` |
Further arguments passed to or from other methods. |

### Value

An object of class `summary.betaclust`

which contains the following list:

C - The number of CpG sites analysed using the beta mixture models.

N - The number of patients analysed using the beta mixture models.

R - The number of sample types analysed using the beta mixture models.

K - The number of methylation states in R DNA samples.

modelName - The optimal model selected.

loglik - The log-likelihood value for the selected optimal model.

information_criterion - The information criterion used to select the optimal model.

ic_output - This stores the information criterion value calculated for each model.

classification - The total number of CpG sites in each cluster.

prop_data - The estimated mixing proportion for each cluster.

### See Also

### Examples

```
my.seed <- 190
M <- 3
N <- 4
R <- 2
data_output <- betaclust(pca.methylation.data[1:30,2:9], M, N, R,
model_names=c("K..","KN.","K.R"), model_selection="BIC",
parallel_process = FALSE, seed=my.seed)
summary(data_output)
```

*betaclust*version 1.0.3 Index]