MOFA {MOFA2} | R Documentation |
The MOFA
is an S4 class used to store all relevant data to analyse a MOFA model
data
The input data
intercepts
Feature intercepts
samples_metadata
Samples metadata
features_metadata
Features metadata.
imputed_data
The imputed data.
expectations
expected values of the factors and the loadings.
dim_red
non-linear dimensionality reduction manifolds.
training_stats
model training statistics.
data_options
Data processing options.
training_options
Model training options.
stochastic_options
Stochastic variational inference options.
model_options
Model options.
dimensions
Dimensionalities of the model: M for the number of views, G for the number of groups, N for the number of samples (per group), D for the number of features (per view), K for the number of factors.
on_disk
Logical indicating whether data is loaded from disk.
cache
Cache.
status
Auxiliary variable indicating whether the model has been trained.