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iBST  

Improper Bagging Survival Tree
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("iBST", "1.2")



Attach the package and use:
library("iBST")
Maintained by
Cyprien Mbogning
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-31
Latest Update: 2023-01-12
Description:
Fit a full or subsampling bagging survival tree on a mixture of population (susceptible and nonsusceptible) using either a pseudo R2 criterion or an adjusted Logrank criterion. The predictor is evaluated using the Out Of Bag Integrated Brier Score (IBS) and several scores of importance are computed for variable selection. The thresholds values for variable selection are computed using a nonparametric permutation test. See 'Cyprien Mbogning' and 'Philippe Broet' (2016) for an overview about the methods implemented in this package.
How to cite:
Cyprien Mbogning (2017). iBST: Improper Bagging Survival Tree. R package version 1.2, https://cran.r-project.org/web/packages/iBST. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0 (2017-01-31 14:16), 1.1 (2022-04-18 13:12)
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Complete documentation for iBST
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