imuGAP
Immunity: Geographic and Age-Based Projection
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | imuGAP_0.1.0.tar.gz |
2.9 MiB |
0.1.0 |
rolling linux/noble R-4.5 | imuGAP_0.1.0.tar.gz |
2.9 MiB |
0.1.0 |
rolling source/ R- | imuGAP_0.1.0.tar.gz |
1.8 MiB |
0.1.0 |
latest linux/jammy R-4.5 | imuGAP_0.1.0.tar.gz |
2.9 MiB |
0.1.0 |
latest linux/noble R-4.5 | imuGAP_0.1.0.tar.gz |
2.9 MiB |
0.1.0 |
latest source/ R- | imuGAP_0.1.0.tar.gz |
1.8 MiB |
0.1.0 |
2026-04-23 source/ R- | imuGAP_0.1.0.tar.gz |
0 B |
Dependencies (latest)
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)