Before revision:  We demonstrate that it outperforms previous longitudinal modeling approaches and provides useful novel features, including the ability to account for uncertainty in disease effect times as well as heterogeneity in their effects .
After revision:  We demonstrate that it outperforms previous longitudinal modeling approaches and provides useful novel features, including the ability to account for the heterogeneity of covariate effects, their temporal uncertainty, and appropriate observation models for different types of biomedical data. The lgpr tool is implemented as a comprehensive and user-friendly R-package. lgpr is available at jtimonen.github.io/lgpr-usage with documentation, tutorials, test data, and code for reproducing the experiments of this paper .