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SurvHiDim  

High Dimensional Survival Data Analysis
View on CRAN: Click here


Download and install SurvHiDim package within the R console
Install from CRAN:
install.packages("SurvHiDim")

Install from Github:
library("remotes")
install_github("cran/SurvHiDim")

Install by package version:
library("remotes")
install_version("SurvHiDim", "0.1.1")



Attach the package and use:
library("SurvHiDim")
Maintained by
Atanu Bhattacharjee
[Scholar Profile | Author Map]
First Published: 2021-04-09
Latest Update: 2021-06-26
Description:
High dimensional time to events data analysis with variable selection technique. Currently support LASSO, clustering and Bonferroni's correction.
How to cite:
Atanu Bhattacharjee (2021). SurvHiDim: High Dimensional Survival Data Analysis. R package version 0.1.1, https://cran.r-project.org/web/packages/SurvHiDim. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2021-04-09 10:40)
Other packages that cited SurvHiDim R package
View SurvHiDim citation profile
Other R packages that SurvHiDim depends, imports, suggests or enhances
Complete documentation for SurvHiDim
Functions, R codes and Examples using the SurvHiDim R package
Some associated functions: hdClust . hdNetwork . hidimLasso . hidimSurv . hidimSurvbon . hidimSurvbonlas . hidimSurvlas . hidimsvc . hnscc . multicoxa . multicoxb . survdesc . 
Some associated R codes: hdClust.R . hdNetwork.R . hidimSurvbon.R . hidimSurvbonlas.R . hidimSurvlas.R . hidimlasso.R . hidimsurv.R . hidimsvc.R . hnscc.R . multicoxa.R . multicoxb.R . survdesc.R .  Full SurvHiDim package functions and examples
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