# Modular Monte Carlo Risk Analysis

## Documentation for package ‘mcmodule’ version 1.1.1

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

## Help Pages

add_group_id | Add Group IDs to Data Frames
add_prefix | Add Prefix to Node Names
agg_totals | Aggregate Across Groups
animal_imports | Example Animal Import Data
at_least_one | Combined Probability of Events (At least one)
check_mctable | Checks mctable data
combine_modules | Combine Two Modules
create_mcnodes | Create Monte Carlo Nodes from Data and Configuration Table
eval_module | Evaluate a Monte Carlo Model Expression and create an mcmodule
get_edge_table | Generate Edge Table for Network Construction
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 Construction
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 mcmodule object containing Monte Carlo simulation results Animal Imports Risk Assessment
imports_mctable | Example Monte Carlo Input Table for Import Risk Assessment
keys_match | Match and align keys between two datasets
mcnode_na_rm | Replace NA and Infinite Values in mcnode Objects
mc_keys | Get Monte Carlo Node Keys
mc_match | Match Monte Carlo Nodes
mc_match_data | Match Monte Carlo Node with other data frame
mc_network | Create Interactive Network Visualization
mc_summary | Compute summary statistics for an mcnode object
mc_summary_keys | Get mcnode summary keys
node_list_summary | Include summary and keys in node_list
prevalence_region | Regional Prevalence Data
reset_data_keys | Reset Data Keys
reset_mctable | Resets the Monte Carlo inputs table
set_data_keys | Set or Get Global Data Keys
set_mctable | Set or Get Monte Carlo Inputs Table
test_sensitivity | Test Sensitivity Data
trial_totals | Trial Probability and Expected Counts
visNetwork_edges | Generate visNetwork Edge Table
visNetwork_nodes | Generate Network Node Table for Visualization
wif_match | Match Datasets With Differing Scenarios