simcausal (version 0.3.0)

simfull: Simulate Full Data (From Action DAG(s))

Description

This function simulates full data based on a list of intervention DAGs, returning a list of data.frames.

Usage

simfull(actions, n, wide = TRUE, LTCF = NULL, rndseed = NULL,
  verbose = getOption("simcausal.verbose"))

Arguments

actions

Actions specifying the counterfactual DAG. This argument must be either an object of class DAG.action or a list of DAG.action objects.

n

Number of observations to sample.

wide

A logical, if TRUE the output data is generated in wide format, if FALSE, the output longitudinal data in generated in long format

LTCF

If forward imputation is desired for the missing variable values, this argument should be set to the name of the node that indicates the end of follow-up event. See the vignette, sim and

rndseed

Seed for the random number generator.

verbose

TRUE turns on printing of auxiliary information messages. To rurn this off by default use options(simcausal.verbose=FALSE).

Value

• A named list, each item is a data.frame corresponding to an action specified by the actions argument, action names are used for naming these list items.

See Also

simobs - a wrapper function for simulating observed data only; sim - a wrapper function for simulating both types of data; doLTCF for forward imputation of the missing values in already simulating data; DF.to.long, DF.to.longDT - converting longitudinal data from wide to long formats.

Other simulation.functions: simobs; sim