Package index • rminte

Core Functions

Main functions for running malaria intervention scenarios

run_minter_scenarios(): Run MINTer Scenarios
run_mintweb_controller(): Run MINTweb Controller
run_malaria_emulator(): Run Malaria Emulator Directly

Scenario Creation

Functions for creating and managing scenarios

create_scenarios(): Create Scenarios DataFrame
load_emulator_models(): Load Emulator Models
generate_scenario_predictions(): Generate Scenario Predictions
predict_full_sequence(): Predict Full Sequence
batch_predict_scenarios(): Batch Predict Scenarios

Utility Functions

Helper functions for calculations and conversions

calculate_overall_dn0(): Calculate Overall dn0 (Net Effectiveness)
available_net_types(): Get Available Net Types
define_bednet_types(): Define Bednet Types
resistance_to_dn0(): Convert Resistance to dn0

Visualization

Functions for plotting results

plot_prevalence(): Plot Prevalence Over Time
plot_cases(): Plot Cases Over Time
create_scenario_plots_mpl(): Create Scenario Plots (Matplotlib)
plot_emulator_results_mpl(): Plot Emulator Results (Matplotlib)

Model Cache

Functions for managing model caching

preload_all_models(): Preload All Models
get_cached_model(): Get Cached Model
clear_cache(): Clear Model Cache

Setup & Configuration

Functions for package setup and Python configuration

minte_available(): Check if minte Python module is available
configure_minte(): Configure Python environment for minte
install_minte(): Install minte Python package
format_for_json(): Format Results for JSON