R-ezglm (R/R-ezglm) Updated: 2 years, 4 months ago Add to my watchlist

Selects significant non-additive interaction between two variables using fast GLM implementation

This package implements a simplified version of least squares and logistic regression for efficiently selecting the significant non-additive interactions between two variables.

Version: 1.0 License: GPL-2

GitHub

Maintainers	No Maintainer
Categories	science math R
Homepage	https://code.google.com/archive/p/ezglm
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-ezglm" depends on

lib (2)

R-CRAN-recommended

libgcc

run (1)

build (3)

clang-16

gcc13

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R-ezglm (R/R-ezglm) Updated: 2 years, 4 months ago Add to my watchlist 0