Title: Simultaneous Inference for Linear Models
Author: Xianyang Zhang, Guang Cheng, Jincheng Bai
Description: Simultaneous inference procedures for high-dimensional linear models as described by Zhang, X., and Cheng, G. (2017) <doi:10.1080/01621459.2016.1166114>.
DependsNote: scalreg does not correctly import lars etc, so we need to
Imports: glmnet, hdi, SIS, stats, parallel, utils
Packaged: 2019-01-05 16:17:30 UTC; jinchengbai

Title: Boosting Method for High-Dimensional Error-Prone Data
Description: Implementation of the boosting procedure with the simulation and extrapolation approach to address variable selection and estimation for (ultra)high-dimensional data subject to measurement error in predictors. Some relevant references include Chen, L.-P. and Yi, G. Y. (2021) <doi:10.1111/biom.13331>, Hastie, T., Tibshirani, R. and Friedman, J. (2008, ISBN:978-0387848570), and Yi, G. Y. (2017, ISBN:978-1493966387).
Packaged: 2022-02-02 15:10:48 UTC; Li-Pang Chen

Title: Set-Based Inference for Multiple Interval-Censored Outcomes
person("Jaihee", "Choi", email = "jaiheechoi01@gmail.com", role = c("aut", "cre")),
Description: Contains tests for association between a set of genetic variants and multiple correlated outcomes that are interval censored. Interval-censored data arises when the exact time of the onset of an outcome of interest is unknown but known to fall between two time points.
Imports: bindata, ICSKAT, fastGHQuad, CompQuadForm, stats

Imports: bindata, fastGHQuad, CompQuadForm, stats, ICSKAT

Title: Subnetwork Integration for Multi-Modal Signatures
Author: Syed Haider, Michal Grzadkowski, Paul C. Boutros
Description: Algorithms to create prognostic biomarkers using

Description: Algorithms to create prognostic biomarkers using biological networks.

Suggests: knitr (>= 1.4), rmarkdown (>= 0.9.5)

Author: Syed Haider [aut, cre], Paul C. Boutros [aut], Michal Grzadkowski [ctb]

person("Syed", "Haider", role = c("aut", "cre"), email = "Syed.Haider@icr.ac.uk"),
person("Paul", "C. Boutros", role = "aut"),
person("Michal", "Grzadkowski", role = "ctb")
Description: Algorithms to create prognostic biomarkers using biological genesets or networks.
Suggests: knitr (>= 1.4), rmarkdown (>= 0.9.5), xtable (>= 1.7-4)