cost_function: Causal Tree cost function
In till-tietz/rcf: Heterogenous Treatment Effect Estimation Using Random Forests

cost_function

R Documentation

Causal Tree cost function

Causal Tree cost function

cost_function(splits, outcome, treat, minsize, alpha)

`splits`	logical subsetting vector for observations to use.
`outcome`	name of the outcome variable as character vector.
`treat`	name of the treatment indicator variable as character vector (treatment indicator must be binary numeric 1 == treatment, 0 == control with no NA).
`minsize`	minimum number of treatment and control observations that must be present in each split as numeric vector.
`alpha`	weighting of cost function numeric vector between 0-1. weights closer to 1 put more emphasis on maximizing heterogeneity. weights closer to 0 put more weight on precisely estimating treatment effects.