ice: Extract the information from the simulation data frame to...

In expose: Multiple Effect Estimation of Chemicals in Environmental Epidemiology

Description

Extract the information from the simulation data frame to analyse the individual conditional expectation

Usage

ice(allsim, dataset, dr = seq(0, 1, 0.1), squem, remove_extrem = FALSE)

Arguments

allsim	dataset with all simulations values
dataset	dataset with all variables
dr	a vector with dose response values
squem	squeme of the values of the prediction values
remove_extrem	boolean parameter to remove the extrem values

Value

a data frame with interactions

Examples

data(expose_data)
data(simu)
data(gen)
delta=c(1,0)
seku <- seq(0,1,0.05)
Exposures<- c('Var1','Var2','Var3','Var4','Var5')
summary_table_lines <- gen[[2]]
ice_res <- ice(allsim = simu[[1]], dataset = expose_data, dr = seku, 
squem = summary_table_lines, remove_extrem = FALSE)

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