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.
Total
6,838
Last month
478
Last week
110
Average per day
16
Daily downloads
Total downloads
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)