BKMR wrapper performing cohort specific loops. Load Matrix and bindrcpp packages

bkmr_cohort(
  data,
  folder_path,
  include_sex = TRUE,
  include_cohort = TRUE,
  ln_mixture_vars = NULL,
  outcome_vars = NULL,
  covariate_vars = NULL,
  groups,
  iter = iter
)

Arguments

data: input of a dataframe that contain all the variables mentioned in the wrapper
folder_path: input folder location to save the output in RDA format
include_sex: input TRUE or FASE to perform sex stratified analysis
include_cohort: input TRUE or FASE to perform cohort stratified analysis
ln_mixture_vars: input list of chemicals that need to be considered as mixture
outcome_vars: input list of outcome variables
covariate_vars: input list of covariates
groups: input grouping structure of the chemicals considered as mixture, these values should be integers
iter: input a numeric value for number of iterations

Value

this function will return output from bkmr model in RDA format