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DynForest  

Random Forest with Multivariate Longitudinal Predictors
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DynForest", "1.2.0")



Attach the package and use:
library("DynForest")
Maintained by
Anthony Devaux
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-20
Latest Update: 2023-12-11
Description:
Based on random forest principle, 'DynForest' is able to include multiple longitudinal predictors to provide individual predictions. Longitudinal predictors are modeled through the random forest. The methodology is fully described for a survival outcome in: Devaux, Helmer, Genuer & Proust-Lima (2023) .
How to cite:
Anthony Devaux (2022). DynForest: Random Forest with Multivariate Longitudinal Predictors. R package version 1.2.0, https://cran.r-project.org/web/packages/DynForest. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0.0 (2022-09-20 12:46), 1.1.0 (2022-11-19 01:10), 1.1.1 (2023-02-11 08:10), 1.1.2 (2023-12-11 13:40), 1.1.3 (2024-03-22 12:30)
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Complete documentation for DynForest
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