Ordinal Regression for High-Dimensional Data
General overview of this package is reported in:
Kellie J. Archer, Jiayi Hou, Qing Zhou, Kyle Ferber, John G. Layne, Amanda Gentry (2014). ordinalgmifs: An R Package for Ordinal Regression in High-dimensional Data Settings.
The no penalty subset functionality of ordinalgmifs is reported in:
Amanda Gentry, Colleen Jackson-Cook, Debra Lyon, Kellie J. Archer (2015). Penalized Ordinal Regression Methods for Predicting Stage of Cancer in High-Dimensional Covariate Spaces. Cancer Informatics, 14(Suppl 2):201-208.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4447150/
The forward continuation ratio with a complementary log-log link for discrete survival modeling using ordinalgmifs is reported in:
Kyle Ferber, Kellie J. Archer (2015). Discrete Survival Time Using Genomic Feature Data. Cancer Informatics, 14(Suppl 2):37-43.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4360712/