monte_g: Monte Carlo simulation

In adayim/causalMed: Causal Mediation Analysis in Survival settings

Description

Internal use only. Monte Carlo simulation.

Usage

monte_g(
  data,
  time.seq,
  time.var,
  models,
  intervention = NULL,
  in.recode = NULL,
  out.recode = NULL,
  init.recode = NULL,
  verbose = TRUE
)

Arguments

data	a data frame in which to look for variables with which to predict.
time.seq	Time sequence.
time.var	Time varaible.
models	fitted objects.
intervention	A vector, intervention treatment per time.
in.recode	optional, On the fly recoding of variables done before the Monte Carlo loop starts. Needed to do any kind of functional forms for entry times. This is executed at each start of the Monte Carlo g-formula time steps
out.recode	optional, On the fly recoding of variables done at the end of the Monte Carlo loop. Needed for operations like counting the number of days with a treatment or creating lagged variables. This is executed at each end of the Monte Carlo g-formula time steps.
init.recode	optional, recoding of variables done at the begaining of the Monte Carlo loop. Needed for operations initalize baseline variables. This is executed at begaining of the Monte Carlo g-formula, excuted only once at time 0.
verbose	Print intervention information during calculation.

adayim/causalMed documentation built on June 2, 2020, 4:11 p.m.