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imuGAP  

Immunity: Geographic and Age-Based Projection
View on CRAN: Click here


Download and install imuGAP package within the R console
Install from CRAN:
install.packages("imuGAP")

Install from Github:
library("remotes")
install_github("cran/imuGAP")

Install by package version:
library("remotes")
install_version("imuGAP", "0.1.0")



Attach the package and use:
library("imuGAP")
Maintained by
Carl Pearson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-22
Latest Update: 2026-06-22
Description:
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.
How to cite:
Carl Pearson (2026). imuGAP: Immunity: Geographic and Age-Based Projection. R package version 0.1.0, https://cran.r-project.org/web/packages/imuGAP. Accessed 14 Jul. 2026.
Previous versions and publish date:
No previous versions
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View imuGAP citation profile
Other R packages that imuGAP depends, imports, suggests or enhances
Complete documentation for imuGAP
Functions, R codes and Examples using the imuGAP R package
Full imuGAP package functions and examples
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