Package: vaxpmx 0.0.3
vaxpmx: Vaccines Pharmacometrics
Estimate vaccine efficacy (VE) using immunogenicity data. The inclusion of immunogenicity data in regression models can increase precision in VE. The methods are described in the publication "Elucidating vaccine efficacy using a correlate of protection, demographics, and logistic regression" by Julie Dudasova, Zdenek Valenta, and Jeffrey R. Sachs (2024).
Authors:
vaxpmx_0.0.3.tar.gz
vaxpmx_0.0.3.zip(r-4.5)vaxpmx_0.0.3.zip(r-4.4)vaxpmx_0.0.3.zip(r-4.3)
vaxpmx_0.0.3.tgz(r-4.4-any)vaxpmx_0.0.3.tgz(r-4.3-any)
vaxpmx_0.0.3.tar.gz(r-4.5-noble)vaxpmx_0.0.3.tar.gz(r-4.4-noble)
vaxpmx_0.0.3.tgz(r-4.4-emscripten)vaxpmx_0.0.3.tgz(r-4.3-emscripten)
vaxpmx.pdf |vaxpmx.html✨
vaxpmx/json (API)
NEWS
| # Install 'vaxpmx' in R: |
| install.packages('vaxpmx', repos = c('https://vavrycuk-zz.r-universe.dev', 'https://cloud.r-project.org')) |
- data_temp - Example of a hypothetical vaccine clinical trial data set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 months agofrom:e3d06b2828. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 27 2024 |
| R-4.5-win | NOTE | Aug 27 2024 |
| R-4.5-linux | NOTE | Aug 27 2024 |
| R-4.4-win | NOTE | Aug 27 2024 |
| R-4.4-mac | NOTE | Aug 27 2024 |
| R-4.3-win | NOTE | Aug 27 2024 |
| R-4.3-mac | NOTE | Aug 27 2024 |
Exports:EfficacyCIglmParametricSamplingve
Dependencies:clidplyrfansigenericsgluelifecyclemagrittrMASSpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Example of a hypothetical vaccine clinical trial data set | data_temp |
| Efficacy summary (mean, median, confidence intervals) | EfficacyCI |
| Accounting for the uncertainty on the fitted '"glm"' model and observed data | glmParametricSampling |
| vaxpmx | vaxpmx |
| Vaccine efficacy estimation | ve |
