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Efficient R package for latent class analysis of recurrent events, based on the semiparametric multiplicative intensity model by Zhao et al. (2022) <doi:10.1111/rssb.12499>. SLCARE returns estimates for non-functional model parameters along with the associated variance estimates and p-values. Visualization tools are provided to depict the estimated functional model parameters and related functional quantities of interest. SLCARE also delivers a model checking plot to help assess the adequacy of the fitted model.
| Version: | 1.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | dplyr, ggplot2, magrittr, methods, nnet, reda, reReg, rlang, stats, tidyr, utils |
| Published: | 2024-01-14 |
| Author: | Qi Yu [aut, cre], Limin Peng [aut] |
| Maintainer: | Qi Yu <qi.yu2 at emory.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | SLCARE results |
| Reference manual: | SLCARE.pdf |
| Package source: | SLCARE_1.1.0.tar.gz |
| Windows binaries: | r-devel: SLCARE_1.1.0.zip, r-release: SLCARE_1.1.0.zip, r-oldrel: SLCARE_1.1.0.zip |
| macOS binaries: | r-release (arm64): SLCARE_1.1.0.tgz, r-oldrel (arm64): SLCARE_1.1.0.tgz, r-release (x86_64): SLCARE_1.1.0.tgz, r-oldrel (x86_64): SLCARE_1.1.0.tgz |
| Old sources: | SLCARE archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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