smog: Structural Modeling by using Overlapped Group Penalty

Fits a linear non-penalized phenotype (demographic) variables and penalized groups of prognostic effect and predictive effect, by satisfying such hierarchy structures that if a predictive effect exists, its prognostic effect must also exist. This package can deal with continuous, binomial or multinomial, and survival response variables, underlying the assumption of Gaussian, binomial (multinomial), and Cox proportional hazard models, respectively. It is implemented by combining the iterative shrinkage-thresholding algorithm and the alternating direction method of multipliers algorithms. The main method is built in C++, and the complementary methods are written in R.

Version: 2.1.0
Depends: R (≥ 3.6)
Imports: Rcpp (≥ 0.12.18), foreach, doParallel, dplyr, tidyr, magrittr, ggplot2, Rdpack, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
Suggests: survival, roxygen2, pkgdown
Published: 2020-08-10
Author: Chong Ma [aut, cre], Kevin Galinsky [ctb]
Maintainer: Chong Ma <chongma8903 at gmail.com>
BugReports: https://github.com/chongma8903/smog/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/chongma8903/smog
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: smog results

Downloads:

Reference manual: smog.pdf
Package source: smog_2.1.0.tar.gz
Windows binaries: r-devel: smog_2.1.0.zip, r-release: smog_2.1.0.zip, r-oldrel: smog_2.0.zip
macOS binaries: r-release: smog_2.1.0.tgz, r-oldrel: smog_2.1.0.tgz
Old sources: smog archive

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