• dlookr

  • Referenced in 3 articles [sw28000]
  • predictor. Data transformation supports binning for categorizing continuous variables, imputates missing values and outliers, resolving...
  • woeBinning

  • Referenced in 1 article [sw19177]
  • woeBinning. Supervised Weight of Evidence Binning of Numeric Variables and Factors. Implements an automated binning ... factors with respect to a dichotomous target variable. Two approaches are provided: An implementation ... like approach that iteratively segments the initial bins via binary splits. Both procedures merge, respectively ... variables or an entire data frame. It provides flexible tools for exploring different binning solutions...
  • Rprofet

  • Referenced in 1 article [sw33589]
  • provides the user functions for coarse binning of variables, Weights of Evidence (WOE) transformation, variable...
  • smbinning

  • Referenced in 2 articles [sw33579]
  • package smbinning: Scoring Modeling and Optimal Binning. A set of functions to build a scoring ... time spent on data exploration, variable selection, feature engineering, binning and model selection among other...
  • tabplot

  • Referenced in 1 article [sw10643]
  • categorical. Each column represents a variable and each row bin is an aggregate...
  • scorecard

  • Referenced in 1 article [sw33569]
  • tasks, such as data partition, variable selection, woe binning, scorecard scaling, performance evaluation and report...
  • RooFit

  • Referenced in 3 articles [sw10588]
  • ROOT environment. Mathematical concepts such as variables, (probability density) functions and integrals are represented ... concise yet powerful interface for fitting (binned and unbinned likelihood, chi^2), plotting...
  • linbin

  • Referenced in 0 articles [sw19300]
  • Flexible bin generation and batch processing makes it easy to compute and visualize variables...
  • binsreg

  • Referenced in 1 article [sw37335]
  • variables based on partitioning/binning of the independent variable of interest. binsreg() implements binscatter estimation ... derivatives thereof, with particular focus on constructing binned scatter plots. binsregtest() implements hypothesis testing procedures...
  • Maple

  • Referenced in 5124 articles [sw00545]
  • The result of over 30 years of cutting...
  • mclust

  • Referenced in 260 articles [sw00563]
  • R package mclust: Normal Mixture Modeling for Model...
  • Paramils

  • Referenced in 70 articles [sw00678]
  • Paramils: an automatic algorithm configuration framework. The identification...
  • PDEPtest

  • Referenced in 3 articles [sw00693]
  • The so called WTC-Kruskal algorithm is presented...
  • PROFIL/BIAS

  • Referenced in 133 articles [sw00733]
  • PROFIL (Programmer’s Runtime Optimized Fast Interval Library...
  • QAPLIB

  • Referenced in 221 articles [sw00751]
  • A collection of electronically available data instances for...
  • R

  • Referenced in 8601 articles [sw00771]
  • R is a language and environment for statistical...
  • RAEEM

  • Referenced in 14 articles [sw00773]
  • RAEEM: A Maple package for finding a series...
  • TSPLIB

  • Referenced in 665 articles [sw00983]
  • TSPLIB is a library of sample instances for...
  • SCIP

  • Referenced in 472 articles [sw01091]
  • SCIP is currently one of the fastest non...