Package: HDoutliers
Version: 0.2
Date: 2016-06-22
Title: Leland Wilkinson's Algorithm for Detecting Multidimensional
Outliers
Authors@R: c(person("Leland", "Wilkinson", role = c("aut"),
email = "leland.wilkinson@gmail.com"),
person("Chris", "Fraley", role = c("cre"), email = "cfraley@tableau.com"))
Author: Leland Wilkinson [aut], Chris Fraley [cre]
Maintainer: Chris Fraley <cfraley@tableau.com>
Depends: R (>= 3.1.0), FNN, FactoMineR
Description: An implementation of an algorithm for outlier detection that can handle a) data with a mixed categorical and continuous variables, b) many columns of data, c) many rows of data, d) outliers that mask other outliers, and e) both unidimensional and multidimensional datasets. Unlike ad hoc methods found in many machine learning papers, HDoutliers is based on a distributional model that uses probabilities to determine outliers.
License: GPL (>= 2)
URL: https://www.r-project.org
NeedsCompilation: no
Packaged: 2016-06-22 22:46:06 UTC; cfraley
Repository: CRAN
Date/Publication: 2016-06-23 01:24:55
Package: freqparcoord
Version: 1.0.1
Author: Norm Matloff <normmatloff@gmail.com> and Yingkang Xie
<yingkang.xie@gmail.com>
Maintainer: Norm Matloff <normmatloff@gmail.com>
Date: 2016-01-15
Title: Novel Methods for Parallel Coordinates
Description: New approaches to parallel coordinates plots for
multivariate data visualization, including applications to clustering,
outlier hunting and regression diagnostics. Includes general functions
for multivariate nonparametric density and regression estimation,
using parallel computation.
Depends: parallel, ggplot2, GGally, FNN, mvtnorm
Imports:
Suggests: mgcv
LazyLoad: no
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: no
Packaged: 2016-01-17 04:19:08 UTC; nm
Date/Publication: 2016-01-17 10:59:33
providing 
.