GA

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

• 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
• kernelshap Kernel SHAP
• fru A Blazing Fast Implementation of Random Forest
• glmnetUtils Utilities for 'Glmnet'
• splitstackshape Stack and Reshape Datasets After Splitting Concatenated Values
• smacof Multidimensional Scaling
• shinydisconnect Show a Nice Message When a 'Shiny' App Disconnects or Errors
• uroot Unit Root Tests for Seasonal Time Series
• MplusAutomation An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus
• AICcmodavg Model Selection and Multimodel Inference Based on (Q)AIC(c)