DynForest
Random Forest with Multivariate Longitudinal Predictors
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)
- Version1.2.0
- R version≥ 4.4.0
- LicenseLGPL (≥ 3)
- Needs compilation?No
- DynForest citation info
- Last release10/23/2024
Documentation
- VignetteHow to use 'DynForest' with categorical outcome?
- Vignettesource
- VignetteR code
- VignetteIntroduction to 'DynForest' methodology
- Vignettesource
- VignetteR code
- VignetteOverview of 'DynForest' package
- Vignettesource
- VignetteR code
- VignetteHow to use 'DynForest' with continuous outcome?
- Vignettesource
- VignetteR code
- VignetteHow to use 'DynForest' with survival outcome?
- Vignettesource
- VignetteR code
- MaterialREADME
- MaterialNEWS
Team
Anthony Devaux
Robin Genuer
Cécile Proust-Lima
Louis Capitaine
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Dependencies
- Depends1 package
- Imports15 packages
- Suggests2 packages