analytics: Regression Outlier Detection, Stationary Bootstrap, Testing Weak Stationarity, NA Imputation, and Other Tools for Data Analysis

Current version includes outlier detection in a fitted linear model, stationary bootstrap using a truncated geometric distribution, a comprehensive test for weak stationarity, missing value imputation, column/rows sums/means by group, weighted biplots, and a heuristic to obtain a better initial configuration in non-metric MDS.

Getting started

Package details

AuthorAlbert Dorador
MaintainerAlbert Dorador <>
Package repositoryView on CRAN
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analytics documentation built on May 2, 2019, 3:37 p.m.