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:
BayesSenMC_0.1.3.tar.gz
BayesSenMC_0.1.3.zip(r-4.5)BayesSenMC_0.1.3.zip(r-4.4)BayesSenMC_0.1.3.zip(r-4.3)
BayesSenMC_0.1.3.tgz(r-4.5-x86_64)BayesSenMC_0.1.3.tgz(r-4.5-arm64)BayesSenMC_0.1.3.tgz(r-4.4-x86_64)BayesSenMC_0.1.3.tgz(r-4.4-arm64)BayesSenMC_0.1.3.tgz(r-4.3-x86_64)BayesSenMC_0.1.3.tgz(r-4.3-arm64)
BayesSenMC_0.1.3.tar.gz(r-4.5-noble)BayesSenMC_0.1.3.tar.gz(r-4.4-noble)
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')) |
Bug tracker:https://github.com/formidify/bayessenmc/issues
- bd_meta - Meta-analysis data on Bipolar Disorder diagnosis accuracy
Last updated 4 years agofrom:dd44806400. Checks:1 OK, 11 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 25 2025 |
| R-4.5-win-x86_64 | NOTE | Mar 25 2025 |
| R-4.5-mac-x86_64 | NOTE | Mar 25 2025 |
| R-4.5-mac-aarch64 | NOTE | Mar 25 2025 |
| R-4.5-linux-x86_64 | NOTE | Mar 25 2025 |
| R-4.4-win-x86_64 | NOTE | Mar 25 2025 |
| R-4.4-mac-x86_64 | NOTE | Mar 25 2025 |
| R-4.4-mac-aarch64 | NOTE | Mar 25 2025 |
| R-4.4-linux-x86_64 | NOTE | Mar 25 2025 |
| R-4.3-win-x86_64 | NOTE | Mar 25 2025 |
| R-4.3-mac-x86_64 | NOTE | Mar 25 2025 |
| R-4.3-mac-aarch64 | NOTE | Mar 25 2025 |
Exports:correctedORcrudeORdiffORfixedCorrORlogitORnlmeNDiffparamEstplotORrandCorrOR
Dependencies:abindbackportsBHbootcallrcheckmateclicolorspacedescdistributionaldplyrfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecyclelme4loomagrittrMASSMatrixmatrixStatsmgcvminqamunsellnlmenloptrnumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6rbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreformulasrlangrstanrstantoolsscalesStanHeaderstensorAtibbletidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The 'BayesSenMC' package. | BayesSenMC-package BayesSenMC |
| Meta-analysis data on Bipolar Disorder diagnosis accuracy | bd_meta |
| Model with constant nondifferential misclassification | correctedOR |
| Model without misclassification | crudeOR |
| Model with differential misclassification | diffOR |
| Model with nondifferential, correlated misclassification | fixedCorrOR |
| Model with nondifferential, logit normal-distributed misclassification | logitOR |
| Non-differential Generalized Linear Mixed Effects Model | nlmeNDiff |
| Parameter estimates of the GLMM model | paramEst |
| Plot Model | plotOR |
| Model with nondifferential, randomly correlated misclassification | randCorrOR |
