To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Heritage persistent IDentifiers (SWHIDs) must be used instead of copying and pasting the url from the address bar of the browser (as there is no guarantee the current URI scheme will remain the same over time).
Select below a type of object currently browsed in order to display its associated SWHID and permalink.
Package: robCompositions Type: Package Title: Robust Estimation for Compositional Data Version: 2.0.6 Date: 2017-08-14 Depends: R (>= 3.0.0), robustbase, ggplot2, data.table, e1071, pls LinkingTo: Rcpp Imports: car, rrcov, cluster, cvTools, fpc, GGally, kernlab, MASS, mclust, Rcpp, sROC, VIM Suggests: knitr VignetteBuilder: knitr Author: Matthias Templ, Karel Hron, Peter Filzmoser Maintainer: Matthias Templ <email@example.com> Description: Methods for analysis of compositional data including robust methods, imputation, methods to replace rounded zeros, (robust) outlier detection for compositional data, (robust) principal component analysis for compositional data, (robust) factor analysis for compositional data, (robust) discriminant analysis for compositional data (Fisher rule), robust regression with compositional predictors and (robust) Anderson-Darling normality tests for compositional data as well as popular log-ratio transformations (addLR, cenLR, isomLR, and their inverse transformations). In addition, visualisation and diagnostic tools are implemented as well as high and low-level plot functions for the ternary diagram. License: GPL (>= 2) LazyLoad: yes LazyData: true RoxygenNote: 6.0.1 NeedsCompilation: yes Packaged: 2017-08-14 12:03:28 UTC; teml Repository: CRAN Date/Publication: 2017-08-14 13:14:11 UTC