calc_beta: Calc beta
In thogaertner/cinof1: Analyse causal inferences in N-of-1 studies

This function fits a geeglm to the data for a given psi. it returns a list of values

calc_beta(
  data,
  psi,
  outcome,
  exposure,
  confounder,
  id,
  corstr = "independence"
)

`data`	data frame with values
`psi`	number, given psi
`outcome`	string, defines the outcome variable
`exposure`	string, defines the exposure variable
`confounder`	string vector, defines the confounder variables
`id`	string, identify the unique identifier
`corstr`	a character string specifying the correlation structure. The following are permitted: '"independence"', '"exchangeable"', '"ar1"', '"unstructured"' and '"userdefined"'