kernelshap

Extra Credit builds an outline of kernelshap's docs the first time your work uses it. Until then, start at the official documentation.

• metap Meta-Analysis of Significance Values
• timeROC Time-Dependent ROC Curve and AUC for Censored Survival Data
• CORElearn Classification, Regression and Feature Evaluation
• lcmm Extended Mixed Models Using Latent Classes and Latent Processes
• fpp2 Data for "Forecasting: Principles and Practice" (2nd Edition)
• ParamHelpers Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning
• fru A Blazing Fast Implementation of Random Forest
• glmnetUtils Utilities for 'Glmnet'
• GA Genetic Algorithms
• splitstackshape Stack and Reshape Datasets After Splitting Concatenated Values
• smacof Multidimensional Scaling
• shinydisconnect Show a Nice Message When a 'Shiny' App Disconnects or Errors