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.

Getting started

Package details

AuthorChong Ma [aut, cre], Kevin Galinsky [ctb]
MaintainerChong Ma <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the smog package in your browser

Any scripts or data that you put into this service are public.

smog documentation built on Aug. 10, 2020, 5:07 p.m.