(Goudet et al. (1996) <https://academic.oup.com/genetics/article/144/4/1933/6017091>).
Weir and Goudet (2017) <https://academic.oup.com/genetics/article/206/4/2085/6072590>.

Title: Convex Hierarchical Testing of Interactions
Author: Jacob Bien, Noah Simon, and Rob Tibshirani
Description: Implementation of the convex hierarchical testing (CHT) procedure
introduced in Bien, Simon, and Tibshirani (2015) Convex Hierarchical Testing
of Interactions. Annals of Applied Statistics. Vol. 9, No. 1, 27-42.

Title: Two-Sample Tests for Equality of Means in High Dimension
Description: Performs the generalized component test from Gregory et al (2015), as well as the tests from Chen and Qin (2010), Srivastava and Kubokawa (2013), and Cai, Liu, and Xia (2014) for equality of two population mean vectors when the length of the vectors exceeds the sample size.
Packaged: 2014-10-24 14:25:33 UTC; karlgregory

Title: Testing Two-Sample Mean in High Dimension
Description: Implements the high-dimensional two-sample test
proposed by Zhang (2019) <http://hdl.handle.net/2097/40235>.
It also implements the test proposed by Srivastava, Katayama,
are particularly suitable to high dimensional data from two populations
for which the classical multivariate Hotelling's T-square test fails due
to sample sizes smaller than dimensionality. In this case, the ZWL and ZWLm
tests proposed by Zhang (2019) <http://hdl.handle.net/2097/40235>,
referred to as zwl_test() in this package, provide a reliable and powerful test.

Title: Feature Selection for High Dimensional Survival Data
Imports: mlr3, mlr3proba, mlr3learners, survival, gtools, tibble,
Description: Perform high dimensional Feature Selection in the presence of survival outcome.
Based on Feature Selection method and different survival analysis, it will obtain the best
markers with optimal threshold levels according to their effect on disease progression
and produce the most consistent level according to those threshold values.
The functions' methodology is based on by Sonabend et al (2021) <doi:10.1093/bioinformatics/btab039>  and Bhattacharjee  et al (2021) <arXiv:2012.02102>.