High Dimensional Survival Data Analysis
Overview
High dimensional time to events data analysis with variable selection technique. Currently support LASSO, clustering and Bonferroni's correction.
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from: ‘readr’ All declared Imports should be used.
- NOTE11 OK, 2 NOTE2026-09-08
- ERROR11 OK, 1 NOTE, 1 ERROR2026-09-07
- NOTE11 OK, 2 NOTE2026-06-09
- ERROR10 OK, 2 NOTE, 1 ERROR2026-06-08
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 12
- Examples that run
- 92%11 run in a plain check · 1 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 67% with Rdpack citation macros
Downloads
Dependencies
Installing SurvHiDim adds 166 packages (78 with compiled code, 136 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.1.1Latest
- RR 4.1.0 released · 2021-05-18
- 0.1.02021-04-09
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-04-09
- Total releases
- 2 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 324 KB / 1 file
- Download size
- 340 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("SurvHiDim")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.