An R package for regression analysis of data from extreme sampling. Both of the low-dimensional (n>p) and high-dimensional (n<p) methods are available.
Chao Xu cxu2@tulane.edu
If the R package devtools can be installed, then try:
library("devtools")
install_github("xu1912/EPSLASSO")
If devtools is not available, then have to download the source code and install local using zip (for Windows) or tar.gz (for Linux) file. Before the installation, check the required packages:
glmnet(>= 2.0-5),
doParallel (>= 1.0.1),
flare (>= 1.5.0),
foreach (>= 1.4.0),
clime (>= 0.4.1),
mvtnorm (>= 1.0-3),
methods (>= 3.2).
The main function of this package is epsLasso(X, Y, c1, c2), where X is the matrix of predictors with each row represents an individual; Y is the phenotypic value; c1 is the right censored phenotypic value; c2 is the left censored phenotypic value. (to be continued)