Package: subselect
Version: 0.15.2
Date: 2020-03-04
Title: Selecting Variable Subsets
Authors@R: c(person("Jorge" ,"Orestes Cerdeira", role="aut", email="jo.cerdeira@fct.unl.pt"), 
             person("Pedro", "Duarte Silva", role="aut", email="psilva@porto.ucp.pt"), 
             person("Jorge", "Cadima", role=c("aut","cre"),  email="jcadima@isa.ulisboa.pt"), 
             person("Manuel",  "Minhoto", role="aut", email="minhoto@uevora.pt"))
Author: Jorge Orestes Cerdeira [aut],
  Pedro Duarte Silva [aut],
  Jorge Cadima [aut, cre],
  Manuel Minhoto [aut]
Maintainer: Jorge Cadima <jcadima@isa.ulisboa.pt>
Description: A collection of functions which (i) assess the quality of variable subsets as surrogates for a full data set, in either an exploratory data analysis or in the context of a multivariate linear model, and (ii) search for subsets which are optimal under various criteria. Theoretical support for the heuristic search methods and exploratory data analysis criteria is in Cadima, Cerdeira, Minhoto (2003, <doi:10.1016/j.csda.2003.11.001>). Theoretical support for the leap and bounds algorithm and the criteria for the general multivariate linear model is in Duarte Silva (2001, <doi:10.1006/jmva.2000.1920>). There is a package vignette "subselect", which includes additional references.
Depends: R (>= 3.5.0)
Imports: MASS, ISwR, corpcor
License: GPL (>= 2)
Repository: CRAN
LazyData: TRUE
NeedsCompilation: yes
Packaged: 2020-03-06 10:02:02 UTC; jcadima
Date/Publication: 2020-03-14 15:30:02 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 04:55:55 UTC; windows
Archs: i386, x64
