Package index • imuGAP

All functions

as.data.frame(<imugap_predict>): Convert coverage predictions to a data.frame
canonicalize_locations() canonicalize_observations() 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-package 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)