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.

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Description file content

Package
analytics
Type
Package
Title
Regression Outlier Detection, Stationary Bootstrap, Testing Weak Stationarity, NA Imputation, and Other Tools for Data Analysis
Version
3.0
Date
2018-10-14
Author
Albert Dorador
Maintainer
Albert Dorador
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.
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)
License
GPL-2
Encoding
UTF-8
ByteCompile
true
LazyData
true
RoxygenNote
6.1.0
NeedsCompilation
no
Packaged
2018-10-14 17:15:33 UTC; eurhope
Repository
CRAN
Date/Publication
2018-10-14 23:30:06 UTC

install.packages('analytics')

3.0

a month ago

Albert Dorador

GPL-2

Depends on

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)

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