Modular Monte Carlo Risk Analysis

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Documentation for package ‘mcmodule’ version 1.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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 mcmcmodule
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