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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
Browse package contents
Package details |
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| Author | Albert Dorador |
| Maintainer | Albert Dorador <albert.dorador.chalar@gmail.com> |
| License | GPL-2 |
| Version | 3.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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