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