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Data & Exposure Setup

epi_data
Simulated beta epidemiological dataset
binomial_data
Simulated binomial epidemiological dataset
gamma_data
Simulated gamma epidemiological dataset
gaussian_data
Simulated gaussian epidemiological dataset
nb2_data
Simulated negative-binomial epidemiological dataset
poisson_data
Simulated poisson epidemiological dataset
spatial_replicate
Simulated epidemiological data with independent spatial replicates
spatial_year
Simulated epidemiological data with independent spatial fields by year
st_poisson
Simulated spatial poisson epidemiological dataset
define_exposures()
Define DLNM exposure templates
check_identifiability()
Diagnose identifiability and numerical stability of DLNM cross-basis designs
build_design()
Build an epidemic-level DLNM design matrix
prepare_response()
Prepare and validate the epidemic-level response for modeling

Model Fitting & Selection

fit_epidlnm()
Fit a harmonized DLNM inferential model
find_bestfit()
Find the best DLNM model structure using grouped validation
ensemble_bestfit()
Create model and lag-contribution ensembles from best-fit DLNM models

Predictions & Simulations

predict_outcomes()
Predict outcomes from fitted EpiExposure DLNM models
compare_exposures()
Compare chronological exposure profiles
compare_predictions()
Compare predicted outcomes between exposure scenarios
simulate_exposures()
Simulate chronological exposure profiles
simulate_ranges()
Generate exposure-value scenarios across DLNM lag periods
simulate_scenarios()
Simulate epidemiological exposure-profile scenarios
simulate_losses()
Simulate yield and economic losses

Periods & Summaries

define_periods()
Define epidemiological lag periods
summarise_effects()
Summarise DLNM exposure-lag effects on link and response scales
reduce_effects()
Reduce a fitted DLNM to a one-dimensional association
compare_periods()
Compare period-specific DLNM effects

Effect Decomposition & Analysis

compute_eci()
Compute Exposure Cumulative Impact
compute_ecilag()
Compute lag-specific decomposition of Exposure Cumulative Impact (ECI)
epi_sensitivity()
Compute sensitivity of exposure-response curves

Plotting

plot_effects()
Plot lag-specific or period-specific effects
plot_eci()
Plot ECI and lag-specific contribution results
plot_scenarios()
Plot predictions across epidemiological scenarios
plot_losses()
Plot simulated yield and economic losses
plot_performance()
Plot out-of-fold model performance