View source: R/compare_models.R
| compare_factors | R Documentation | 
Different MOFA objects are compared in terms of correlation between their factors.
compare_factors(models, ...)
models | 
 a list with   | 
... | 
 extra arguments passed to pheatmap  | 
If assessing model robustness across trials, the output should look like a block diagonal matrix, suggesting that all factors are robustly detected in all model instances.
Plots a heatmap of the Pearson correlation between latent factors across all input models.
# Using an existing trained model on simulated data
file <- system.file("extdata", "model.hdf5", package = "MOFA2")
model1 <- load_model(file)
model2 <- load_model(file)
# Compare factors between models
compare_factors(list(model1,model2))
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