analytics: Regression Outlier Detection, Stationary Bootstrap, Testing Weak Stationarity, NA Imputation, and Other Tools for Data Analysis
Version 3.0

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
Date of publication2018-10-14 23:30:06 UTC
MaintainerAlbert Dorador <[email protected]>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

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analytics documentation built on Oct. 15, 2018, 1:04 a.m.