In the situation when multiple alternative treatments or interventions available, different population groups may respond differently to different treatments. This package implements a method that discovers the population subgroups in which a certain treatment has a better effect than the other alternative treatments. This is done by first estimating the treatment effect for a given treatment and its uncertainty by computing random forests, and the resulting model is summarized by a decision tree in which the probabilities that the given treatment is best for a given subgroup is shown in the corresponding terminal node of the tree.
|Author||Oleg Sysoev, Krzysztof Bartoszek, Katarina Ekholm Selling and Lotta Ekstrom|
|Maintainer||Oleg Sysoev <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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