add_prefix              Add Prefix to mcnode Names
agg_totals              Aggregate mcnode Values Across Groups
animal_imports          Example Animal Import Data
at_least_one            Combine Probabilities Assuming Independence
check_mctable           Validate and Prepare mctable Data Frame
combine_modules         Combine Two mcmodule Objects
create_mcnodes          Create mcnodes from Data and Configuration
                        Table
eval_module             Evaluate Monte Carlo Model Expressions
get_edge_table          Generate Edge Table for Network Visualisation
get_mcmodule_nodes      Get Nodes from Monte Carlo Module
get_node_list           Create Node List from Model Expression
get_node_table          Generate Node Table for Network Visualisation
imports_data            Merged Import Data for Risk Assessment
imports_data_keys       Example Data Keys for Animal Imports Risk
                        Assessment
imports_exp             Expression for Calculating Import Infection
                        Probability
imports_mcmodule        Example Monte Carlo Module for Animal Imports
                        Risk Assessment
imports_mctable         Example Monte Carlo Input Table for Import Risk
                        Assessment
keys_match              Match and Align Keys Between Datasets
matrix_to_mcnodes       Create mcnodes from Matrix/Data Frame
mc_compare              Compare Monte Carlo Node Against Baseline
                        Scenario
mc_filter               Filter mcnode Variates by Condition
mc_keys                 Extract Key Columns from Monte Carlo Nodes
mc_match                Match Two Monte Carlo Nodes
mc_match_data           Match Monte Carlo Node with Data Frame
mc_network              Create Interactive Network Visualisation
mc_plot                 Plot Monte Carlo Node Distribution with Boxplot
                        and Scatter Points
mc_summary              Summarise Monte Carlo Node Values
mcmodule_converg        Analyse Monte Carlo Simulation Convergence
mcmodule_corr           Calculate Correlation Coefficients Between
                        Inputs and Outputs
mcmodule_dim_check      Check Dimension Compatibility of Monte Carlo
                        Nodes
mcmodule_info           Get Comprehensive Monte Carlo Module
                        Information
mcmodule_to_matrices    Convert Monte Carlo Module to Matrices
mcmodule_to_mc          Convert Monte Carlo Module to 'mc2d' Objects
mcmodule_tornado        Plot Tornado-Style Correlation Results Across
                        Variates
mcnode_na_rm            Replace NA and Infinite Values in mcnode
                        Objects
mcnode_null_rm          Replace NULL mcnode object
mctable_bounds          Extract Morris Bounds From mctable
mctable_sobol_matrices
                        Sobol sampling matrices from an mctable
optim_ndvar             Optimize Number of Variability Iterations Based
                        on Convergence
prevalence_region       Regional Pathogen Prevalence Data
reset_data_keys         Reset Data Keys
reset_mctable           Reset Monte Carlo Inputs Table
reset_sample_design     Reset Global Sample Design
set_data_keys           Set or Get Global Data Keys
set_mctable             Set or Get Monte Carlo Inputs Table
set_sample_design       Set or Get Global Sample Design
test_sensitivity        Test Sensitivity Data for Pathogens
tidy_mcnode             Convert mcnode to Long Format for Plotting
trial_totals            Trial Probability and Expected Counts
visNetwork_edges        Generate Formatted visNetwork Edge Table
visNetwork_nodes        Generate Formatted Network Node Table for
                        Visualisation
which_mcnode            Find mcnodes Matching a Condition
which_mcnode_inf        Find mcnodes with Infinite Values
which_mcnode_na         Find 'mcnode's with Missing Values
wif_match               Match Datasets with Differing Scenarios
