info {epigraHMM} | R Documentation |
This function returns the BIC and expected log-likelihood function of the model, with respect to the last conditional distribution of unknown enrichment peaks given the data. The latter is also known as 'Q-function' in the EM context.
info(object)
object |
an epigraHMMDataSet |
A list with BIC, and expected log-likelihood function of the model. If the input object contains results from a differential analysis, 'info' will also output the enrichment patterns associated with each mixture component used in the mixture model.
Pedro L. Baldoni, pedrobaldoni@gmail.com
https://github.com/plbaldoni/epigraHMM
# Creating dummy object countData <- rbind(matrix(rnbinom(1e3,mu = 2,size = 10),ncol = 1), matrix(rnbinom(2e3,mu = 7.5,size = 5),ncol = 1), matrix(rnbinom(1e3,mu = 2,size = 10),ncol = 1)) colData <- data.frame(condition = 'A', replicate = 1) object <- epigraHMMDataSetFromMatrix(countData,colData) # Initializing object <- initializer(object,controlEM()) # Running epigraHMM object <- epigraHMM(object,controlEM(),type = 'consensus',dist = 'nb') # Get info info(object)