R: Functions to Assess the Business Impact of Churn Prediction Models

# Functions to Assess the Business Impact of Churn Prediction Models

## Documentation for package ‘modelimpact’ version 1.1.0

- DESCRIPTION file.
- Package NEWS.

## Help Pages

autoplot.mi_bootstrap | Plot modelimpact results
autoplot.mi_compare | Plot modelimpact results
autoplot.mi_cost_revenue | Plot modelimpact results
autoplot.mi_gains | Plot modelimpact results
autoplot.mi_lift | Plot modelimpact results
autoplot.mi_marginal | Plot modelimpact results
autoplot.mi_profit | Plot modelimpact results
autoplot.mi_roc | Plot modelimpact results
autoplot.mi_roi | Plot modelimpact results
autoplot.mi_thresholds | Plot modelimpact results
bootstrap_profit | Bootstrap confidence bands for the profit curve
break_even | Break-even and optimal targeting point
compare_models | Compare several models on a business-impact metric
confusion_payoff | Confusion matrix and payoff at a single threshold
cost_revenue | Calculate cost and revenue
cumulative_gains | Cumulative gains
impact_summary | One-line business-impact summary
lift_curve | Lift
marginal_profit | Marginal profit per bin
modelimpact-plots | Plot modelimpact results
payoff_grid | Payoff sensitivity grid
plot_cost_revenue | Plot modelimpact results
plot_gains | Plot modelimpact results
plot_lift | Plot modelimpact results
plot_marginal | Plot modelimpact results
plot_profit | Plot modelimpact results
plot_roc | Plot modelimpact results
plot_roi | Plot modelimpact results
plot_thresholds | Plot modelimpact results
predictions | Predictions from a customer churn model.
profit | Calculate profit
profit_thresholds | Find optimal threshold for churn prediction (class)
roc_pr | ROC and precision-recall curve data
roi | Calculate Return on investment (ROI)
run_app | Launch the interactive modelimpact Shiny app
tornado | Tornado sensitivity analysis of maximum profit