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Scikit-longitudinal is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning classification tasks. It is ideal for researchers, data scientists, and analysts, as it provides specialist tools for dealing with repeated-measures data challenges
Supplimental information and code associated with Baker and Wang. 2021. "Working with longitudinal data: quantifying developmental processes using function-valued trait modeling" American Journal of Botany 108(6): 905-908
Proactive methodological disclosure of a high resolution precision calibrated estimate of the Gompertz-Makeham Law of Mortality and general utilization hazard rates through lifespan interferometry against annual census data consolidated from the administrative data of all publicly funded healthcare provided in a single geopolitical jurisdiction.