TwoTimeScales: analysis of event data with two time scales v0.2.1

Carollo, A., Eilers, P. H. C., Gampe, J., GitHub (May 2023), unpublished
Open Source


A collection of functions that are used to perform analysis of time to event data with two time scales. The main goal of the analysis is to estimate a smooth two dimensional hazard curve, while also respecting the constraint imposed by the relation between the two time scales. Analyses are based on the P-splines model of Poisson data with offset. Regression model to study the effect of covariates on the baseline hazard are possible in a proportional hazards fashion. Functions to plot the (baseline) hazard are also provided.

Keywords: event history analysis, smoothing, statistical analysis
The Max Planck Institute for Demographic Research (MPIDR) in Rostock is one of the leading demographic research centers in the world. It's part of the Max Planck Society, the internationally renowned German research society.