fit.adj.lm: Fit LM with Adjusted Treatment Effect
In thogaertner/cinof1: Analyse causal inferences in N-of-1 studies

This function fits a linear model with a given treatment effect. For that, it pre processes the data with the given effect and returns the fitted linear model. An unadjusted linear model can be generated with setting 'effects' to 'NA'.

fit.adj.lm(
  data,
  outcome,
  exposure,
  variables,
  id,
  time_col,
  effects = NA,
  one.hot = FALSE
)

`data`	Data Frame with patient data
`outcome`	name of the outcome variable column
`exposure`	name of the exposure variable column
`variables`	vector of names of other variables
`effects`	list of effects for
`one.hot`	boolean weather the exporure variable is on hot encoded or not-