R: Drift Adaptable Models

# Drift Adaptable Models

## Documentation for package ‘heimdall’ version 1.2.727

- DESCRIPTION file
- Package README

## Help Pages

dfr_adwin | ADWIN method
dfr_aedd | Autoencoder-Based Drift Detection method
dfr_cusum | Cumulative Sum for Concept Drift Detection (CUSUM) method
dfr_ddm | Adapted Drift Detection Method (DDM) method
dfr_ecdd | Adapted EWMA for Concept Drift Detection (ECDD) method
dfr_eddm | Adapted Early Drift Detection Method (EDDM) method
dfr_hddm | Adapted Hoeffding Drift Detection Method (HDDM) method
dfr_inactive | Inactive dummy detector
dfr_kldist | KL Distance method
dfr_kswin | KSWIN method
dfr_lbdd | Levene Based Drift Detection Method method
dfr_mcdd | Mean Comparison Distance method
dfr_multi_criteria | Multi Criteria Drifter sub-class
dfr_page_hinkley | Adapted Page Hinkley method
dfr_passive | Passive dummy detector
dist_based | Distribution Based Drifter sub-class
drifter | Drifter
error_based | Error Based Drifter sub-class
fit.drifter | Process Batch
metric | Metric
mt_accuracy | Accuracy Calculator
mt_fscore | FScore Calculator
mt_precision | Precision Calculator
mt_recall | Recall Calculator
mt_rocauc | ROC AUC Calculator
mv_dist_based | Multivariate Distribution Based Drifter sub-class
norm | Norm
nrm_memory | Memory Normalizer
reset_state | Reset State
stealthy | Stealthy
st_drift_examples | Synthetic time series for concept drift detection
update_state | Update State