Package: FWDselect
Title: Selecting Variables in Regression Models
Version: 2.1.1
Date: 2026-04-22
Authors@R: c(person("Marta", "Sestelo",email= "sestelo@uvigo.gal", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0003-4284-6509")),
   person("Nora", "M. Villanueva",email= "nmvillanueva@uvigo.gal", role = c("aut", "cph")),
   person("Javier", "Roca-Pardinas",email= "roca@uvigo.es", role = "aut"))
Maintainer: Marta Sestelo <sestelo@uvigo.gal>
Description: A simple method
    to select the best model or best subset of variables using
    different types of data (binary, Gaussian or Poisson) and
    applying it in different contexts (parametric or non-parametric). 
    Implemented methodology described in: M. Sestelo, N. M. Villanueva, 
    L. Meira-Machado and J. Roca-Pardiñas (2016). FWDselect: an R package for 
    variable selection in regression models. The R Journal, 8 (1), 132-148. <doi:10.32614/RJ-2016-009>.
URL: https://CRAN.R-project.org/package=FWDselect
BugReports: https://github.com/sestelo/fwdselect/issues
Depends: R (>= 3.1.0)
License: MIT + file LICENSE
LazyData: true
Imports: cvTools, mgcv, parallel, graphics, stats
RoxygenNote: 7.3.3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-22 10:49:59 UTC; sestelo
Author: Marta Sestelo [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0003-4284-6509>),
  Nora M. Villanueva [aut, cph],
  Javier Roca-Pardinas [aut]
Repository: CRAN
Date/Publication: 2026-04-27 18:30:15 UTC
Built: R 4.5.2; ; 2026-04-27 21:19:24 UTC; unix
