Package index • mcmodule

All functions

add_prefix(): Add Prefix to mcnode Names
agg_totals() deprecated: Aggregate mcnode Values Across Groups (Deprecated)
agg_variates(): Aggregate mcnode Values Across Groups
animal_imports: 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 Animal Import Data
imports_data_keys: Data Keys for the Animal Import Example
imports_exp: Model Expression for the Animal Import Example
imports_mcmodule: Example Monte Carlo Module for Animal Imports
imports_mctable: Monte Carlo Node Specifications for the Animal Import Example
intrusion_exp: Intrusion-Pathway Expression for the Water Supply Example
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() experimental: Create Interactive Network Visualisation
mc_plot() experimental: Plot Monte Carlo Node Distribution with Boxplot and Scatter Points
mc_summary(): Summarise Monte Carlo Node Values
mcmodule_converg() experimental: Analyse Monte Carlo Simulation Convergence
mcmodule_corr() experimental: Calculate Correlation Coefficients Between Inputs and Outputs
mcmodule_dim_check() experimental: 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() experimental: 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() experimental: 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: Diagnostic Test Sensitivity Data
tidy_mcnode() experimental: Convert mcnode to Long Format for Plotting
treatment_exp: Treatment-Pathway Expression for the Water Supply Example
trial_totals(): Trial Probability and Expected Counts
visNetwork_edges(): Generate Formatted visNetwork Edge Table
visNetwork_nodes(): Generate Formatted Network Node Table for Visualisation
water_data: Water Supply Example Data
water_data_keys: Data Keys for the Water Supply Example
water_group_data: Water Supply Example Data by Consumption Group
water_group_data_keys: Data Keys for the Consumption-Group Water Example
water_mctable: Monte Carlo Node Specifications for the Water Supply Example
which_mcnode(): Find mcnodes Matching a Condition
which_mcnode_inf(): Find mcnodes with Infinite Values
which_mcnode_na(): Find mcnodes with Missing Values
wif_match(): Match Datasets with Differing Scenarios