vecfun.add

Add user-defined function names to a global list of custom vectorized functions.
The functions in <code>vecfun_names</code> are intended for use inside the node formulas.
Adding functions to this list will generally greatly expedite the simulation run time.
Any node formula calling a function on this list will be evaluated "as is", the function should
be written to accept arguments as either vectors of length <code>n</code> or as matrices with <code>n</code> rows.
Adding function to this list will effects simulation from all DAG objects that call this function. See vignette for more details.

A flexible tool for simulating complex longitudinal data using
structural equations, with emphasis on problems in causal inference.
Specify interventions and simulate from intervened data generating
distributions. Define and evaluate treatment-specific means, the average
treatment effects and coefficients from working marginal structural models.
User interface designed to facilitate the conduct of transparent and
reproducible simulation studies, and allows concise expression of complex
functional dependencies for a large number of time-varying nodes. See the
package vignette for more information, documentation and examples.

Fred Gruber

simcausal

Simulating Longitudinal Data with Causal Inference Applications

Oleg Sofrygin

Romain Neugebauer

vecfun.add function

<dl><dt>vecfun_names</dt>
<dd>A character vector of function names that will be treated as "vectorized" by the node formula R parser</dd></dl>

Arguments

Add Custom Vectorized Functions — vecfun.add

<dl>

<dt>vecfun_names</dt>
<dd>A character vector of function names that will be treated as "vectorized" by the node formula R parser</dd>

</dl>

vecfun.add: Add Custom Vectorized Functions

Description

Usage

Value

Arguments