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icrf  

Interval Censored Recursive Forests
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("icrf", "2.0.2")



Attach the package and use:
library("icrf")
Maintained by
Hunyong Cho
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-23
Latest Update: 2022-10-29
Description:
Implements interval censored recursive forests (ICRF) based on Cho, Jewell, and Kosorok (2021+). ICRF is a variant of random forests where the outcome variable is interval censored survival data. It can be used for usual right censored data and current status data as well. A recursion technique is used to improve accuracy and smoothed survival curves are provided.
How to cite:
Hunyong Cho (2020). icrf: Interval Censored Recursive Forests. R package version 2.0.2, https://cran.r-project.org/web/packages/icrf. Accessed 30 Apr. 2025.
Previous versions and publish date:
1.0.0 (2020-01-23 16:30), 2.0.0 (2021-05-17 09:30), 2.0.2 (2022-10-30 00:00)
Other packages that cited icrf R package
View icrf citation profile
Other R packages that icrf depends, imports, suggests or enhances
Complete documentation for icrf
Functions, R codes and Examples using the icrf R package
Some associated functions: getTree.icrf . icrf . importance.icrf . measure . plot . predict.icrf . rat2 . survplot . treesize.icrf . varImpPlot.icrf . varUsed.icrf . 
Some associated R codes: Icens.R . NPMLE_new.R . base.R . getTree.R . icrf.R . icrf.default.R . icrf.formula.R . importance.R . measure.R . plot.icrf.R . predict.icrf.R . print.icrf.R . rat2.R . survplot.R . treesize.icrf.R . varImpPlot.R . varUsed.R .  Full icrf package functions and examples
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