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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) <doi: 10.1177/09622802231206477>.
Getting started
Browse package contents
Package details |
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| Author | Anthony Devaux [aut, cre] (<https://orcid.org/0000-0002-8862-4218>), Robin Genuer [aut] (<https://orcid.org/0000-0002-0981-3943>), Cécile Proust-Lima [aut] (<https://orcid.org/0000-0002-9884-955X>), Louis Capitaine [aut] (<https://orcid.org/0000-0001-6800-2342>) |
| Maintainer | Anthony Devaux <anthony.devauxbarault@gmail.com> |
| License | LGPL (>= 3) |
| Version | 1.2.0 |
| URL | https://github.com/anthonydevaux/DynForest |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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