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bayesmlogit: A Multistate Life Table (MSLT) Methodology Based on Bayesian Approach

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

Documentation:

Reference manual: bayesmlogit.pdf
Vignettes: Introductory-to-Package

Downloads:

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

Linking:

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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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