# Immunity: Geographic and Age-Based Projection

## Documentation for package ‘imuGAP’ version 0.2.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

imuGAP-package | The 'imuGAP' package.
as.data.frame.imugap_predict | Convert coverage predictions to a data.frame
canonicalize | Canonicalize imuGAP Data Objects
canonicalize_locations | Canonicalize imuGAP Data Objects
canonicalize_observations | Canonicalize imuGAP Data Objects
canonicalize_populations | Canonicalize imuGAP Data Objects
canonicalize_target | Canonicalize a target grid against a fit
create_observation_populations | Create observation populations
create_target | Construct a target grid for prediction
extract_imugap | Custom imuGAP fit extraction
fit_sim | Example Stan Fit
fit_sim_1layer | Example Stan Fit (1 Layer)
fit_sim_2layer | Example Stan Fit (2 Layers)
imuGAP | The 'imuGAP' package.
imugap_options | imuGAP Model Options
latent_params_sim | Example Latent Parameter Values
locations_sim | Example Location Data
observations_sim | Example Observation Data
populations_sim | Example Population Data
predict.imugap_fit | Predict coverage probabilities
predict_sim | Example Coverage Predictions
predict_sim_1layer | Example Coverage Predictions (1 Layer)
predict_sim_2layer | Example Coverage Predictions (2 Layers)
sampling | Immunity: Geographic & Age-based Projection, 'imuGAP'
subset.imugap_predict | Subset coverage predictions
summary.imugap_predict | Summarize coverage predictions
target_sim | Example Prediction Target Populations
target_sim_1layer | Example Prediction Target Populations (1 Layer)
target_sim_2layer | Example Prediction Target Populations (2 Layers)