Package: BayesSenMC 0.1.3

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>.

Authors:Jinhui Yang, Haitao Chu, and Lifeng Lin

BayesSenMC_0.1.3.tar.gz
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BayesSenMC.pdf |BayesSenMC.html
BayesSenMC/json (API)

# Install 'BayesSenMC' in R:
install.packages('BayesSenMC', repos = c('https://formidify.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/formidify/bayessenmc/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • bd_meta - Meta-analysis data on Bipolar Disorder diagnosis accuracy

On CRAN:

2.70 score 280 downloads 9 exports 59 dependencies

Last updated 3 years agofrom:dd44806400. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-win-x86_64NOTEOct 26 2024
R-4.5-linux-x86_64NOTEOct 26 2024
R-4.4-win-x86_64NOTEOct 26 2024
R-4.4-mac-x86_64NOTEOct 26 2024
R-4.4-mac-aarch64NOTEOct 26 2024
R-4.3-win-x86_64NOTEOct 26 2024
R-4.3-mac-aarch64NOTEOct 26 2024
R-4.3-mac-x86_64NOTESep 26 2024

Exports:correctedORcrudeORdiffORfixedCorrORlogitORnlmeNDiffparamEstplotORrandCorrOR

Dependencies:abindbackportsBHbootcallrcheckmateclicolorspacedescdistributionaldplyrfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecyclelme4loomagrittrMASSMatrixmatrixStatsmgcvminqamunsellnlmenloptrnumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsscalesStanHeaderstensorAtibbletidyselectutf8vctrsviridisLitewithr