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Fits Bayesian hierarchical models of vaccine coverage by location, birth cohort, and age. Observations of vaccination status (which may span cohorts, ages, and doses) are used to fit a latent survival-style process model that decomposes coverage into a lifetime propensity to vaccinate and a time-varying force of vaccination. Hierarchical spatial structure (e.g., state, county, school) supports partial pooling via random effects. Models are implemented in 'Stan' and fit via 'rstan'. Provides helpers to validate user-supplied input data, and to predict coverage from fitted models.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | data.table, methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.5.0) |
| 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) |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), roxygen2, roxyglobals, lintr, spelling, bayesplot, ggplot2 |
| Published: | 2026-06-22 |
| DOI: | 10.32614/CRAN.package.imuGAP |
| Author: | Carl Pearson |
| Maintainer: | Carl Pearson <carl.ab.pearson at gmail.com> |
| BugReports: | https://github.com/ACCIDDA/imuGAP/issues |
| License: | MIT + file LICENSE |
| URL: | https://accidda.github.io/imuGAP/, https://github.com/ACCIDDA/imuGAP |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Language: | en-US |
| Citation: | imuGAP citation info |
| Materials: | README, NEWS |
| CRAN checks: | imuGAP results |
| Reference manual: | imuGAP.html , imuGAP.pdf |
| Vignettes: |
imuGAP, Immunity: Geographic & Age-based Projection (source, R code) |
| Package source: | imuGAP_0.1.0.tar.gz |
| Windows binaries: | r-devel: imuGAP_0.1.0.zip, r-release: not available, r-oldrel: imuGAP_0.1.0.zip |
| macOS binaries: | r-release (arm64): imuGAP_0.1.0.tgz, r-oldrel (arm64): imuGAP_0.1.0.tgz, r-release (x86_64): imuGAP_0.1.0.tgz, r-oldrel (x86_64): imuGAP_0.1.0.tgz |
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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.