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Create life tables with a Bayesian approach, which can be very useful for modelling a complex health process when considering multiple predisposing factors and multiple coexisting health conditions. Details for this method can be found in: Lynch, Scott, et al., (2022) <doi:10.1177/00811750221112398>; Zang, Emma, et al., (2022) <doi:10.1093/geronb/gbab149>.
| Version: | 1.0.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | stats, ggplot2, dplyr, magrittr |
| Suggests: | rmarkdown, knitr |
| Published: | 2023-11-01 |
| Author: | Emma Zang [aut, cph], Xuezhixing Zhang [aut, cre], Scott Lynch [aut, cph] |
| Maintainer: | Xuezhixing Zhang <xuezhixing.zhang at yale.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | bayesmlogit results |
| Reference manual: | bayesmlogit.pdf |
| Vignettes: |
Introductory-to-Package |
| Package source: | bayesmlogit_1.0.1.tar.gz |
| Windows binaries: | r-devel: bayesmlogit_1.0.1.zip, r-release: bayesmlogit_1.0.1.zip, r-oldrel: bayesmlogit_1.0.1.zip |
| macOS binaries: | r-release (arm64): bayesmlogit_1.0.1.tgz, r-oldrel (arm64): bayesmlogit_1.0.1.tgz, r-release (x86_64): bayesmlogit_1.0.1.tgz, r-oldrel (x86_64): bayesmlogit_1.0.1.tgz |
| Old sources: | bayesmlogit 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.
Health stats visible at Monitor.