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barracuda156
27 lines
1.3 KiB
Tcl
27 lines
1.3 KiB
Tcl
# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4
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PortSystem 1.0
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PortGroup R 1.0
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R.setup cran zeemkr ncpen 1.0.0
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revision 1
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categories-append math
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maintainers nomaintainer
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license GPL-3+
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description Unified algorithm for non-convex penalized estimation for generalized linear models
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long_description An efficient unified nonconvex penalized estimation algorithm for Gaussian (linear), \
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binomial logit (logistic), Poisson, multinomial logit and Cox proportional hazard regression models. \
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The unified algorithm is implemented based on the convex concave procedure and the algorithm \
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can be applied to most of the existing nonconvex penalties. The algorithm also supports convex penalty – \
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least absolute shrinkage and selection operator (LASSO).
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checksums rmd160 83740cfbe8aa3813fc5c2ca7a6755a67c2769842 \
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sha256 4ae717497cfe8f67f677ca29e701f6588d49c1ad4cbd904cd025bba8f362846e \
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size 46694
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depends_lib-append port:R-Rcpp \
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port:R-RcppArmadillo
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compilers.setup require_fortran
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test.run yes
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