The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

BayesSenMC: Different Models of Posterior Distributions of Adjusted Odds Ratio

Generates different posterior distributions of adjusted odds ratio under different priors of sensitivity and specificity, and plots the models for comparison. It also provides estimations for the specifications of the models using diagnostics of exposure status with a non-linear mixed effects model. It implements the methods that are first proposed in <doi:10.1016/j.annepidem.2006.04.001> and <doi:10.1177/0272989X09353452>.

Version: 0.1.5
Depends: R (≥ 3.4.0)
Imports: methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.1.1), dplyr, ggplot2, lme4
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Published: 2022-08-06
DOI: 10.32614/CRAN.package.BayesSenMC
Author: Jinhui Yang, Haitao Chu, and Lifeng Lin
Maintainer: Jinhui Yang <james.yangjinhui at gmail.com>
BugReports: https://github.com/formidify/BayesSenMC/issues
License: GPL-2
URL: https://github.com/formidify/BayesSenMC
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: BayesSenMC results

Documentation:

Reference manual: BayesSenMC.pdf

Downloads:

Package source: BayesSenMC_0.1.5.tar.gz
Windows binaries: r-devel: BayesSenMC_0.1.5.zip, r-release: BayesSenMC_0.1.5.zip, r-oldrel: BayesSenMC_0.1.5.zip
macOS binaries: r-release (arm64): BayesSenMC_0.1.5.tgz, r-oldrel (arm64): BayesSenMC_0.1.5.tgz, r-release (x86_64): BayesSenMC_0.1.5.tgz, r-oldrel (x86_64): BayesSenMC_0.1.5.tgz
Old sources: BayesSenMC archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BayesSenMC to link to this page.

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.