eval_module: Evaluate a Monte Carlo Model Expression and create an...

In mcmodule: Modular Monte Carlo Risk Analysis

Evaluate a Monte Carlo Model Expression and create an mcmodule

Description

Takes a set of Monte Carlo model expressions and evaluates them and creates an mcmodule containing results and metadata.

Usage

eval_module(
  exp,
  data,
  param_names = NULL,
  prev_mcmodule = NULL,
  summary = FALSE,
  mctable = set_mctable(),
  data_keys = set_data_keys(),
  match_keys = NULL,
  keys = NULL,
  overwrite_keys = NULL
)

Arguments

exp	Model expression or list of expressions to evaluate
data	Input data frame containing model parameters
param_names	Named vector for parameter renaming (optional)
prev_mcmodule	Previous module(s) for dependent calculations
summary	Logical; whether to calculate summary statistics
mctable	Reference table for mcnodes, defaults to set_mctable()
data_keys	Data structure and keys, defaults to set_data_keys()
match_keys	Keys to match prev_mcmodule mcnodes and data by
keys	Optional explicit keys for the input data (character vector)
overwrite_keys	Logical or NULL. If NULL (default) it becomes TRUE when data_keys is NULL or an empty list; otherwise FALSE.

Value

An mcmodule object containing data, expressions, and nodes

Examples

# Basic usage with single expression
eval_module(
  exp = imports_exp,
  data = imports_data,
  mctable = imports_mctable,
  data_keys = imports_data_keys
)

mcmodule documentation built on Nov. 25, 2025, 5:10 p.m.