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: ClustGeo
Type: Package
Title: Clustering of Observations with Geographical Constraints
Version: 1.0
Date: 2015-06-22
LazyData: TRUE
Author: Amaury Labenne, Marie Chavent, Vanessa Kuentz-Simonet and Jerome Saracco
Maintainer: Amaury Labenne <amaury.labenne@irstea.fr>
Description: Functions which allow to integrate geographical constraints in Ward hierarchical clustering. Geographical maps of typologies obtained can be displayed with the use of shapefiles.
License: GPL (>= 2.0)
Depends: R (>= 2.10.0), rCarto, FactoMineR, plyr,
Packaged: 2015-06-23 12:41:59 UTC; Amaury.Labenne
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-06-23 17:26:29
providing 
.