R-KERE (R/R-KERE) Updated: 1 year, 5 months ago Add to my watchlist

Expectile regression in reproducing kernel Hilbert space

An efficient algorithm inspired by majorization–minimization principle for solving the entire solution path of a flexible non-parametric expectile regression estimator constructed in a reproducing kernel Hilbert space.

Version: 1.0.0 License: GPL-2 GitHub
Maintainers No Maintainer
Categories science math R
Homepage https://cran.r-project.org/package=KERE
Platforms darwin
Variants
  • clang10 (Build using the MacPorts clang 10 compiler)
  • clang11 (Build using the MacPorts clang 11 compiler)
  • clang12 (Build using the MacPorts clang 12 compiler)
  • clang13 (Build using the MacPorts clang 13 compiler)
  • clang14 (Build using the MacPorts clang 14 compiler)
  • clang15 (Build using the MacPorts clang 15 compiler)
  • clang16 (Build using the MacPorts clang 16 compiler)
  • clang50 (Build using the MacPorts clang 5.0 compiler)
  • clang60 (Build using the MacPorts clang 6.0 compiler)
  • clang70 (Build using the MacPorts clang 7.0 compiler)
  • clang80 (Build using the MacPorts clang 8.0 compiler)
  • clang90 (Build using the MacPorts clang 9.0 compiler)
  • clangdevel (Build using the MacPorts clang devel compiler)
  • g95 (Build using the g95 Fortran compiler)
  • gcc10 (Build using the MacPorts gcc 10 compiler)
  • gcc11 (Build using the MacPorts gcc 11 compiler)
  • gcc12 (Build using the MacPorts gcc 12 compiler)
  • gcc13 (Build using the MacPorts gcc 13 compiler)
  • gccdevel (Build using the MacPorts gcc devel compiler)
  • gfortran (Build using the MacPorts gcc 13 Fortran compiler)

"R-KERE" depends on

lib (2)
libgcc
R-CRAN-recommended
run (1)
R
build (3)
clang-16
gcc13
R

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