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Estimation of extended joint models with shared random effects. Longitudinal data are handled in latent process models for continuous (Gaussian or curvilinear) and ordinal outcomes while proportional hazard models are used for the survival part. We propose a frequentist approach using maximum likelihood estimation. See Saulnier et al, 2022 <doi:10.1016/j.ymeth.2022.03.003>.
| Version: | 1.0.2 |
| Depends: | R (≥ 2.14.0), lcmm |
| Imports: | survival (≥ 2.37-2), randtoolbox, stringr, marqLevAlg (≥ 2.0.6) |
| Published: | 2023-10-06 |
| Author: | Viviane Philipps [aut, cre], Tiphaine Saulnier [aut], Cecile Proust-Lima [aut] |
| Maintainer: | Viviane Philipps <Viviane.Philipps at u-bordeaux.fr> |
| BugReports: | https://github.com/VivianePhilipps/JLPM/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: | yes |
| CRAN checks: | JLPM results |
| Reference manual: | JLPM.pdf |
| Package source: | JLPM_1.0.2.tar.gz |
| Windows binaries: | r-devel: JLPM_1.0.2.zip, r-release: JLPM_1.0.2.zip, r-oldrel: JLPM_1.0.2.zip |
| macOS binaries: | r-release (arm64): JLPM_1.0.2.tgz, r-oldrel (arm64): JLPM_1.0.2.tgz, r-release (x86_64): JLPM_1.0.2.tgz, r-oldrel (x86_64): JLPM_1.0.2.tgz |
| Old sources: | JLPM archive |
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