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 |
DOI: | 10.32614/CRAN.package.bayesmlogit |
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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