Other packages > Find by keyword >

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 22 Dec. 2024.
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
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA