selectModel: Select the best model from a list of trained 'MOFAmodel'...
In bioFAM/MOFA: Multi-Omics Factor Analysis (MOFA)

Description Usage Arguments Value Examples

Different trained objects of MOFAmodel are compared in terms of the final value of the ELBO statistics and the model with the highest ELBO value is selected.

1	selectModel(models, plotit = TRUE)

`models`	a list containing `MOFAmodel` objects.
`plotit`	show a plot of the characteristics of the compared `MOFAmodel` objects (ELBO value and number of inferred factors)?

a single MOFAmodel with the best ELBO statistics from the provided list

# Simulate Data
data <- makeExampleData()
# Create MOFA model
MOFAobject <- createMOFAobject(data)
# Prepare MOFA model
MOFAobject <- prepareMOFA(MOFAobject)
# Train several instances of MOFA models
n_inits <- 3 
MOFAlist <- lapply(seq_len(n_inits), function(i) runMOFA(MOFAobject, outfile=tempfile()))
selectModel(MOFAlist)