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 (may not be active yet) |
| Author: |
Carl Pearson 
[aut, cre],
Claire Perrin Smith
[aut],
Kelly Zhen [ctb],
Weston Voglesonger [ctb],
Joshua Chen [ctb],
Minjae Kung [ctb] |
| 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 |