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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]
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 29 Mar. 2025.
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)
Other packages that cited DynForest R package
View DynForest citation profile
Other R packages that DynForest depends, imports, suggests or enhances
Complete documentation for DynForest
Downloads during the last 30 days
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