Recursive segmentation (rseg) makes use of recursive partitioning methods to perform exploratory subgroup analysis in an automated manner that resembles the patient rule induction method (PRIM). Therefore, tree models are fit to the data to identify subsets with outstanding outcome values. These are iteratively removed from the data which yields a sequence of subsets, called 'segments'.
|Author||Alexander Hapfelmeier [aut, cre]|
|Date of publication||2018-08-24 14:53:37|
|Maintainer||Alexander Hapfelmeier <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on R-Forge|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.