CRAN/E | highMLR

highMLR

Feature Selection for High Dimensional Survival Data

Installation

About

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) .

Key Metrics

Version 0.1.1
R ≥ 3.5.0
Published 2022-07-18 649 days ago
Needs compilation? no
License GPL-3
CRAN checks highMLR results

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Maintainer

Maintainer

Atanu Bhattacharjee

atanustat@gmail.com

Authors

Atanu Bhattacharjee

aut / cre / ctb

Gajendra K. Vishwakarma

aut / ctb

Souvik Banerjee

aut / ctb

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

highMLR archive

Depends

R ≥ 3.5.0

Imports

mlr3
mlr3learners
survival
gtools
tibble
dplyr
utils
coxme
missForest
R6