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.


Reference manual

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3.0 by Albert Dorador, 2 years ago

Browse source code at

Authors: Albert Dorador

Documentation:   PDF Manual  

GPL-2 license

Imports powerplus, tcltk, cluster, MASS, car, robust, trend, TSA, lmtest, fractal, urca, np, VIM

See at CRAN