unmnn/evoxploit: Augment Evolution Features to a Longitudinal Study Dataset

Augment evolution features to a longitudinal study dataset. Epidemiological studies serve as basis for the identification of risk factors associated with a medical outcome. Longitudinal epidemiological data comprise information from assessments that are repeatedly conducted over time. This package aims at exploiting temporal information inherent to these data by generating so called "evolution features". Theses features reflect a study participant's individual change over time, his/her change over time in comparison with the cluster he/she was closest to at the baseline examinations, and the change of whole participant groups.

install.packages("remotes")
remotes::install_github("unmnn/evoxploit")