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add PM10 data
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robingenuer committed Apr 6, 2018
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3 changes: 2 additions & 1 deletion DESCRIPTION
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Expand Up @@ -15,7 +15,8 @@ Description: Three steps variable selection procedure based on random forests.
variables related to the response for interpretation purpose. Third step
refines the selection by eliminating redundancy in the set of variables
selected by the second step, for prediction purpose.
Genuer, R. and Poggi, J.M. and Tuleau-Malot, C. (2015) <https://journal.r-project.org/archive/2015-2/genuer-poggi-tuleaumalot.pdf>.
Genuer, R. and Poggi, J.M. and Tuleau-Malot, C. (2015)
<https://journal.r-project.org/archive/2015-2/genuer-poggi-tuleaumalot.pdf>.
License: GPL (>= 2)
LazyData: true
URL: https://github.com/robingenuer/VSURF
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23 changes: 23 additions & 0 deletions R/PM10.R
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##' TITLE
##'
##' DESCRIPTION
##'
##' @format The format is a list of 2 component:
##'
##' $x: A data-frame containing input variables: with 100 obs. of 200
##' variables ;
##'
##' $y: Output variable: a factor with 2 levels "-1" and "1".
##'
##' @examples
##'
##' ##'
##' \dontrun{
##'
##' }
##'
##' @source Weston, J., Elisseff, A., Schoelkopf, B., Tipping, M. (2003),
##' \emph{Use of the zero norm with linear models and Kernel methods},
##' J. Machine Learn. Res. 3, 1439-1461
##'
"jus"
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32 changes: 32 additions & 0 deletions man/jus.Rd

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