R: Bioinformatics Modeling with Recursion and Autoencoder-Based Ensemble

# Bioinformatics Modeling with Recursion and Autoencoder-Based Ensemble

## Documentation for package ‘BioMoR’ version 0.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

biomor_benchmark | Benchmark a trained model
biomor_run_pipeline | Run full BioMoR pipeline
brier_score | Compute Brier Score
calibrate_model | Calibrate model probabilities
compute_f1_threshold | Compute optimal threshold for maximum F1 score
get_cv_control | Get caret cross-validation control
get_embeddings | Get Embeddings from Autoencoder (stub)
prepare_model_data | Prepare dataset for modeling
train_autoencoder | Train Autoencoder (stub)
train_biomor | Train BioMoR Autoencoder
train_rf | Train a Random Forest model with caret
train_xgb_caret | Train an XGBoost model with caret