R: Governance-First Predictive Modelling for 'Gazepoint' Research

# Governance-First Predictive Modelling for 'Gazepoint' Research

## Documentation for package ‘gp3ml’ version 0.1.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

apply_gazepoint_calibrator | Apply a fitted probability calibrator
assert_gp3ml_use_case | Assert that a task is within the permitted gp3ml scope
assess_gazepoint_calibration | Calibration assessment with bootstrap uncertainty
audit_gazepoint_group_folds | Aggregate leakage audits across group-aware folds
audit_gazepoint_ml_leakage | Audit leakage between predictive-analysis partitions
bake_gazepoint_preprocessor | Apply a fitted preprocessing engine
bootstrap_gazepoint_metrics | Bootstrap uncertainty intervals for performance metrics
create_external_validation_report | Create an external-validation report object
create_gazepoint_feature_manifest | Create a Gazepoint feature-provenance manifest
create_gazepoint_group_folds | Create deterministic group-aware Gazepoint resampling folds
create_gazepoint_model_card | Create a governance-focused model card
create_gazepoint_reproducibility_report | Create a reproducibility report
declare_gazepoint_task | Declare a governed Gazepoint prediction task
diagnose_gazepoint_group_folds | Diagnose group-aware Gazepoint resampling folds
evaluate_external_validation | Evaluate an independent external-validation dataset
fit_gazepoint_calibrator | Fit a probability calibrator
fit_gazepoint_deep_model | Fit an optional governed deep-learning model through keras3
fit_gazepoint_model | Fit a governed Gazepoint model
fit_gazepoint_preprocessor | Fit a fold-local preprocessing engine
gazepoint_classification_metrics | Binary classification metrics
gazepoint_performance_metrics | Task-aware performance metrics
gazepoint_regression_metrics | Regression metrics
gp3ml_available_engines | List available model engines
gp3ml_prohibited_uses | Prohibited gp3ml uses
integrate_black_box_model | Integrate a controlled black-box model engine
predict.gp3ml_model | Predict from a gp3ml model
print.gazepoint_feature_manifest_validation | Print feature-manifest validation
print.gazepoint_fold_diagnostics | Print Gazepoint fold diagnostics
print.gazepoint_fold_diagnostics_validation | Print Gazepoint fold-diagnostics validation
print.gazepoint_group_folds | Print group-aware Gazepoint resampling folds
print.gazepoint_group_folds_audit | Print aggregated group-fold leakage auditing
print.gazepoint_group_folds_validation | Print group-aware fold validation
print.gazepoint_ml_leakage_audit | Print a Gazepoint ML leakage audit
print.gazepoint_ml_split | Print a group-aware Gazepoint split
print.gazepoint_ml_split_validation | Print group-aware split validation
split_gazepoint_ml_data | Create a deterministic group-aware Gazepoint holdout split
train_gazepoint_classifier | Generic governed binary-classifier training wrapper
validate_gazepoint_feature_manifest | Validate a Gazepoint feature-provenance manifest
validate_gazepoint_fold_diagnostics | Validate Gazepoint fold diagnostics
validate_gazepoint_group_folds | Validate group-aware Gazepoint resampling folds
validate_gazepoint_ml_roles | Validate outcome, predictor, identifier, and grouping roles
validate_gazepoint_ml_split | Validate a group-aware Gazepoint holdout split
write_external_validation_report | Write an external-validation report
write_gazepoint_feature_manifest_csv | Write a Gazepoint feature manifest or validation table to CSV
write_gazepoint_fold_diagnostics_csv | Write Gazepoint fold diagnostics to CSV files
write_gazepoint_group_folds_csv | Write group-aware resampling tables to CSV
write_gazepoint_ml_leakage_audit_csv | Write a Gazepoint ML leakage-audit table to CSV
write_gazepoint_ml_split_csv | Write group-aware split tables to CSV
write_gazepoint_model_card | Write a model card
write_gazepoint_reproducibility_report | Write a reproducibility report