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 |
Documentation:
Downloads:
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