| 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)