# Functional Machine Learning Framework

## Documentation for package ‘funcml’ version 0.9.0

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

## Help Pages

A B C D E F G H I K L M N P R S T

funcml-package | funcml: Functional Machine Learning Framework

## -- A --

accuracy | Regression and classification metrics.
arthritis | Arthritis survey data
auc | Regression and classification metrics.
auc_ci | AUC with a confidence interval.
auc_weighted | Regression and classification metrics.

## -- B --

balanced_accuracy | Regression and classification metrics.
bangladeshmaternalrisk | Bangladesh maternal risk data
birthweight | Birth weight data
breastcancerdiagnostic | Breast cancer diagnostic data
breastcancerwisconsin | Wisconsin breast cancer data
brier | Regression and classification metrics.

## -- C --

calibration_curve | Regression and classification metrics.
cancerremission | Cancer remission data
cd4counts | CD4 follow-up data
cigsmoke | Youth tobacco survey data
coef.funcml_fit | Methods for fitted funcml models.
compare | Compare multiple learners with optional tuning.
compare-methods | Methods for learner comparison results.
cv | Resampling specification generator.

## -- D --

dca | Decision curve analysis: net benefit.
dca-methods | Methods for decision curve analysis results.
doctorvisits | Doctor visits data

## -- E --

ece | Regression and classification metrics.
estimate | Causal effect estimation via plug-in g-computation.
estimate-methods | Methods for causal estimand results.
evaluate | Cross-validated evaluation.
evaluate-methods | Methods for cross-validation results.

## -- F --

f1 | Regression and classification metrics.
fit | Fit a model using the funcml interface.
fit-methods | Methods for fitted funcml models.
funcml | funcml: Functional Machine Learning Framework

## -- G --

group_cv | Grouped cross-validation.

## -- H --

haberman | Haberman survival data
heartdisease | Heart disease patient data
heartfailure | Heart failure data
holdout | Plain holdout resampling.

## -- I --

infantmortality | Infant mortality data
interpret | Model-agnostic interpretation (global + local).
interpret-ale-methods | ALE result methods.
interpret-calibration-methods | Calibration result methods.
interpret-ice-methods | ICE result methods.
interpret-interaction-methods | Interaction result methods.
interpret-local-methods | Local surrogate result methods.
interpret-local-model-methods | Local surrogate result methods for 'local_model' and 'lime'.
interpret-pdp-methods | Partial dependence result methods.
interpret-permute-methods | Permutation importance result methods.
interpret-shap-methods | SHAP result methods.
interpret-surrogate-methods | Global surrogate result methods.

## -- K --

ketapain | Ketamine pain management data

## -- L --

learners | Available learners.
list_interpretability_methods | List available interpretability methods.
list_learners | Learner inventory table with capabilities.
list_metrics | List available metrics used in scoring and resampling summaries.
list_tunable_learners | Shortcut for learners with tuning support.
logloss | Regression and classification metrics.

## -- M --

mae | Regression and classification metrics.
mammography | Mammography calcification data
mape | Regression and classification metrics.
mce | Regression and classification metrics.
medae | Regression and classification metrics.
metrics | Regression and classification metrics.
mse | Regression and classification metrics.

## -- N --

newthyroid | Thyroid function data

## -- P --

pimadiabetes | Pima diabetes data
plot.funcml_ale | ALE result methods.
plot.funcml_calibration | Calibration result methods.
plot.funcml_compare | Methods for learner comparison results.
plot.funcml_dca | Methods for decision curve analysis results.
plot.funcml_estimand | Methods for causal estimand results.
plot.funcml_eval | Methods for cross-validation results.
plot.funcml_ice | ICE result methods.
plot.funcml_iml_local_model | Local surrogate result methods for 'local_model' and 'lime'.
plot.funcml_interaction | Interaction result methods.
plot.funcml_lime | Local surrogate result methods for 'local_model' and 'lime'.
plot.funcml_local | Local surrogate result methods.
plot.funcml_pdp | Partial dependence result methods.
plot.funcml_permute | Permutation importance result methods.
plot.funcml_roc | Methods for ROC curve results.
plot.funcml_shap | SHAP result methods.
plot.funcml_surrogate | Global surrogate result methods.
plot.funcml_tune | Methods for tuning results.
precision | Regression and classification metrics.
predict.funcml_fit | Methods for fitted funcml models.
print.funcml_ale | ALE result methods.
print.funcml_calibration | Calibration result methods.
print.funcml_compare | Methods for learner comparison results.
print.funcml_dca | Methods for decision curve analysis results.
print.funcml_estimand | Methods for causal estimand results.
print.funcml_eval | Methods for cross-validation results.
print.funcml_fit | Methods for fitted funcml models.
print.funcml_ice | ICE result methods.
print.funcml_iml_local_model | Local surrogate result methods for 'local_model' and 'lime'.
print.funcml_interaction | Interaction result methods.
print.funcml_local | Local surrogate result methods.
print.funcml_pdp | Partial dependence result methods.
print.funcml_permute | Permutation importance result methods.
print.funcml_roc | Methods for ROC curve results.
print.funcml_shap | SHAP result methods.
print.funcml_surrogate | Global surrogate result methods.
print.funcml_tune | Methods for tuning results.

## -- R --

recall | Regression and classification metrics.
rmse | Regression and classification metrics.
roc-methods | Methods for ROC curve results.
roc_curve | ROC curve.
rsq | Regression and classification metrics.

## -- S --

specificity | Regression and classification metrics.
summary.funcml_ale | ALE result methods.
summary.funcml_calibration | Calibration result methods.
summary.funcml_compare | Methods for learner comparison results.
summary.funcml_estimand | Methods for causal estimand results.
summary.funcml_eval | Methods for cross-validation results.
summary.funcml_fit | Methods for fitted funcml models.
summary.funcml_ice | ICE result methods.
summary.funcml_iml_local_model | Local surrogate result methods for 'local_model' and 'lime'.
summary.funcml_interaction | Interaction result methods.
summary.funcml_local | Local surrogate result methods.
summary.funcml_pdp | Partial dependence result methods.
summary.funcml_permute | Permutation importance result methods.
summary.funcml_shap | SHAP result methods.
summary.funcml_surrogate | Global surrogate result methods.
summary.funcml_tune | Methods for tuning results.

## -- T --

theme_funcml | FuncML plotting theme.
time_cv | Time-aware rolling resampling.
tune | Hyperparameter tuning via grid or random search.
tune-methods | Methods for tuning results.