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. Cancer Informatics, 13:187-195. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4266195/
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/
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