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.

Version: 3.0
Depends: R (≥ 3.1.0)
Imports: powerplus (≥ 3.1), tcltk (≥ 3.3.1), cluster (≥ 2.0.4), MASS (≥ 7.3-45), car (≥ 2.1-4), robust (≥ 0.4-18), trend (≥ 0.2.0), TSA (≥ 1.01), lmtest (≥ 0.9-35), fractal (≥ 2.0-1), urca (≥ 1.3-0), np (≥ 0.60-3), VIM (≥ 4.7.0)
Published: 2018-10-14
Author: Albert Dorador
Maintainer: Albert Dorador <albert.dorador.chalar at>
License: GPL-2
NeedsCompilation: no
CRAN checks: analytics results


Reference manual: analytics.pdf
Package source: analytics_3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: analytics_3.0.tgz, r-oldrel: analytics_3.0.tgz
Old sources: analytics archive


Please use the canonical form to link to this page.