run_simulations: This function run all the simulations based on the structure...

In expose: Multiple Effect Estimation of Chemicals in Environmental Epidemiology

Description

This function run all the simulations based on the structure of the basic data frame.

Usage

run_simulations(dataset, exposures, confounders, libraries, outcomes,
  num.sim = 50, delta = c(0, 1), dr, newdata, show_times = FALSE,
  show_num_sim = TRUE, save_time = FALSE, verbose = FALSE,
  family = "gaussian", method = "method.NNLS")

Arguments

dataset	dataset with all variables
exposures	a vector with exposures
confounders	a vector with confounders
libraries	a vector of libraries to use
outcomes	outcome´s name
num.sim	number of simulations
delta	a vector with two values
dr	a vector with dose response values
newdata	the dataframe with new values
show_times	boolean parameter to see the time
show_num_sim	boolean parameter to see the iteration of simulations
save_time	boolean parameter to save the time in the result list
verbose	boolean parameter to see the verbose of superlearner
family	a character parameter to describe the family of the model
method	a character parameter to choose the method in the superlearner

Details

libraries could be SL if we don't select nothing or 'SL.glm', 'SL.glm.interaction','SL.glmnet', 'SL.gam','SL.xgboost','SL.polymars','SL.randomForest'

Value

a list with 4 objects: a data frame with all simulations, risk and coefficients of the crossvalidation and the time of the proces.

expose documentation built on May 16, 2019, 5:07 p.m.