Modular Monte Carlo Risk Analysis

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Documentation for package ‘mcmodule’ version 1.2.0

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

Help Pages

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
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
mcnode_na_rm	Replace NA and Infinite Values in mcnode Objects
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
prevalence_region	Regional Pathogen Prevalence Data
reset_data_keys	Reset Data Keys
reset_mctable	Reset 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 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