analytics: Regression Outlier Detection, Stationary Bootstrap, Testing Weak Stationarity, 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, column means by group, weighted biplots, and a heuristic to obtain a better initial configuration in non-metric MDS.

Version: 2.0
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)
Published: 2017-06-14
Author: Albert Dorador
Maintainer: Albert Dorador <albert.dorador at estudiant.upc.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: analytics results

Downloads:

Reference manual: analytics.pdf
Package source: analytics_2.0.tar.gz
Windows binaries: r-prerel: analytics_2.0.zip, r-release: analytics_2.0.zip, r-oldrel: analytics_2.0.zip
OS X binaries: r-prerel: analytics_2.0.tgz, r-release: analytics_2.0.tgz
Old sources: analytics archive

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