Other packages > Find by keyword >

nftbart  

Nonparametric Failure Time Bayesian Additive Regression Trees
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("nftbart", "2.1")



Attach the package and use:
library("nftbart")
Maintained by
Rodney Sparapani
[Scholar Profile | Author Map]
First Published: 2021-12-20
Latest Update: 2023-11-28
Description:
Nonparametric Failure Time (NFT) Bayesian Additive Regression Trees (BART): Time-to-event Machine Learning with Heteroskedastic Bayesian Additive Regression Trees (HBART) and Low Information Omnibus (LIO) Dirichlet Process Mixtures (DPM). An NFT BART model is of the form Y = mu + f(x) + sd(x) E where functions f and sd have BART and HBART priors, respectively, while E is a nonparametric error distribution due to a DPM LIO prior hierarchy. See the following for a complete description of the model at .
How to cite:
Rodney Sparapani (2021). nftbart: Nonparametric Failure Time Bayesian Additive Regression Trees. R package version 2.1, https://cran.r-project.org/web/packages/nftbart. Accessed 01 May. 2025.
Previous versions and publish date:
1.1 (2021-12-20 10:20), 1.2 (2022-02-03 20:40), 1.3 (2022-03-29 21:30), 1.4 (2022-08-26 00:20), 1.5 (2023-01-06 22:50), 1.6 (2023-05-01 00:50)
Other packages that cited nftbart R package
View nftbart citation profile
Other R packages that nftbart depends, imports, suggests or enhances
Complete documentation for nftbart
Functions, R codes and Examples using the nftbart R package
Some associated functions: CDCheight . CDimpute . Cindex . bMM . bartModelMatrix . bmx . lung . nft2 . predict.aftree . predict.nft2 . tsvs2 . xicuts . 
Some associated R codes: CDimpute.R . Cindex.R . bMM.R . bartModelMatrix.R . concordance.R . nft.R . nft2.R . predict.aftree.R . predict.nft.R . predict.nft2.R . tsvs.R . tsvs2.R . xicuts.R .  Full nftbart package functions and examples
Downloads during the last 30 days
04/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/29Downloads for nftbart024681012141618TrendBars

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
dCUR  
Dimension Reduction with Dynamic CUR
Dynamic CUR (dCUR) boosts the CUR decomposition (Mahoney MW., Drineas P. (2009) ...
Download / Learn more Package Citations See dependency  
dsm  
Density Surface Modelling of Distance Sampling Data
Density surface modelling of line transect data. A Generalized Additive Model-based approach is use ...
Download / Learn more Package Citations See dependency  
representr  
Create Representative Records After Entity Resolution
An implementation of Kaplan, Betancourt, Steorts (2022) that cre ...
Download / Learn more Package Citations See dependency  
fbar  
An Extensible Approach to Flux Balance Analysis
A toolkit for Flux Balance Analysis and related metabolic modeling techniques. Functions are provid ...
Download / Learn more Package Citations See dependency  
pander  
An R 'Pandoc' Writer
Contains some functions catching all messages, 'stdout' and other useful information while evaluati ...
Download / Learn more Package Citations See dependency  

24,142

R Packages

207,311

Dependencies

65,176

Author Associations

24,143

Publication Badges

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