Title: Rule- and Instance-Based Regression Modeling
Author: Max Kuhn, Steve Weston, Chris Keefer, Nathan Coulter. C code
Description: Regression modeling using rules with added instance-based

Author: Max Kuhn, Steve Weston, Chris Keefer, Nathan Coulter. C code for Cubist by Ross Quinlan
Description: Regression modeling using rules with added instance-based corrections

Title: Rule- And Instance-Based Regression Modeling
Description: Regression modeling using rules with added instance-based corrections.

Author: Max Kuhn, Steve Weston, Chris Keefer. C code for Cubist by R.

person("Keefer", "Chris", role = "ctb"),
person("Quinlan", "Ross", role = "aut", comment = "Author of imported C code"))
Quinlan Ross [aut] (Author of imported C code)

person("Chris", "Keefer", role = "ctb"),

Suggests: mlbench, caret, knitr, modeldata, dplyr (>= 0.7.4), rlang,

Config/Needs/website: pkgdown, caret, tidymodels, rules
Suggests: mlbench, knitr, modeldata, dplyr (>= 0.7.4), rlang,

Title: Evaluation Metrics for Customer Scoring Models Depending on
Description: Functions for evaluating and visualizing predictive model performance (specifically: binary classifiers) in the field of customer scoring. These metrics include lift, lift index, gain percentage, top-decile lift, F1-score, expected misclassification cost and absolute misclassification cost. See Berry & Linoff (2004, ISBN:0-471-47064-3), Witten and Frank (2005, 0-12-088407-0) and Blattberg, Kim & Neslin (2008, ISBN:978–0–387–72578–9) for details. Visualization functions are included for lift charts and gain percentage charts. All metrics that require class predictions offer the possibility to dynamically determine cutoff values for transforming real-valued probability predictions into class predictions.

Title: Costs Allocation for the Installation of an Elevator
Maintainer: Iago Montero Nunez <iagomontero95@gmail.com>
Description: Calculate the distribution of costs for the installation of an elevator based on the different distribution rules.

Title: Optimal Equal-HR Method to Find Two Cutpoints for U-Shaped
Description: Use optimal equal-HR method to determine two optimal cutpoints of a continuous predictor that has a U-shaped relationship with survival outcomes based on Cox regression model. The optimal equal-HR method estimates two optimal cut-points that have approximately the same log hazard value based on Cox regression model and divides individuals into different groups according to their HR values.