amap

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

• C50 C5.0 Decision Trees and Rule-Based Models
• RcppGSL 'Rcpp' Integration for 'GNU GSL' Vectors and Matrices
• optmatch Functions for Optimal Matching
• snowfall Easier Cluster Computing (Based on 'snow')
• circular Circular Statistics
• grpreg Regularization Paths for Regression Models with Grouped Covariates
• butcher Model Butcher
• AUC Threshold Independent Performance Measures for Probabilistic Classifiers
• KFAS Kalman Filter and Smoother for Exponential Family State Space Models
• gggenes Draw Gene Arrow Maps in 'ggplot2'
• JuliaCall Seamless Integration Between R and 'Julia'
• rucm Implementation of Unobserved Components Model (UCM)