Package: vaxpmx 0.0.6
Julie Dudasova (MSD)
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 publications "Elucidating vaccine efficacy using a correlate of protection, demographics, and logistic regression" and "Improving precision of vaccine efficacy evaluation using immune correlate data in time-to-event models" by Julie Dudasova, Zdenek Valenta, and Jeffrey R. Sachs (2024).
Authors:
vaxpmx_0.0.6.tar.gz
vaxpmx_0.0.6.tar.gz(r-4.5-noble)vaxpmx_0.0.6.tar.gz(r-4.4-noble)
vaxpmx_0.0.6.tgz(r-4.4-emscripten)vaxpmx_0.0.6.tgz(r-4.3-emscripten)
vaxpmx.pdf |vaxpmx.html✨
vaxpmx/json (API)
NEWS
| # Install 'vaxpmx' in R: |
| install.packages('vaxpmx', repos = c('https://cran.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 5 days agofrom:7f63daf07a. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 25 2024 |
| R-4.5-linux | NOTE | Nov 25 2024 |
Exports:coxphParametricSamplingEfficacyCIglmParametricSamplingve
Dependencies:clidplyrfansigenericsgluelatticelifecyclemagrittrMASSMatrixpillarpkgconfigR6rlangsurvivaltibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Accounting for the uncertainty on the fitted '"coxph"' model and observed data | coxphParametricSampling |
| 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 |
