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ICcforest  

An Ensemble Method for Interval-Censored Survival Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ICcforest", "0.5.1")



Attach the package and use:
library("ICcforest")
Maintained by
Weichi Yao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-02-08
Latest Update: 2020-02-17
Description:
Implements the conditional inference forest approach to modeling interval-censored survival data. It also provides functions to tune the parameters and evaluate the model fit. See Yao et al. (2019) .
How to cite:
Weichi Yao (2019). ICcforest: An Ensemble Method for Interval-Censored Survival Data. R package version 0.5.1, https://cran.r-project.org/web/packages/ICcforest. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.5.0 (2019-02-08 16:53)
Other packages that cited ICcforest R package
View ICcforest citation profile
Other R packages that ICcforest depends, imports, suggests or enhances
Complete documentation for ICcforest
Functions, R codes and Examples using the ICcforest R package
Some associated functions: ICcforest-package . ICcforest . gettree.ICcforest . predict.ICcforest . sbrier_IC . tuneICRF . 
Some associated R codes: ICcforest-package.R . ICcforest.R . gettree.ICcforest.R . predict.ICcforest.R . sbrier_IC.R . tuneICRF.R .  Full ICcforest package functions and examples
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