https://xilin-jiang.r-universe.devRecent package updates in xilin-jiangR-universehttps://github.com/xilin-jiang.pnghttps://xilin-jiang.r-universe.devSat, 28 Feb 2026 12:20:02 GMTjiangxilin1@gmail.com (Xilin Jiang)We propose an age-dependent topic modelling (ATM) model, providing a low-rank representation of longitudinal records of hundreds of distinct diseases in large electronic health record data sets. The model assigns to each individual topic weights for several disease topics; each disease topic reflects a set of diseases that tend to co-occur as a function of age, quantified by age-dependent topic loadings for each disease. The model assumes that for each disease diagnosis, a topic is sampled based on the individual’s topic weights (which sum to 1 across topics, for a given individual), and a disease is sampled based on the individual’s age and the age-dependent topic loadings (which sum to 1 across diseases, for a given topic at a given age). The model generalises the Latent Dirichlet Allocation (LDA) model by allowing topic loadings for each topic to vary with age. References: Jiang (2023) <doi:10.1038/s41588-023-01522-8>.https://github.com/r-universe/xilin-jiang/actions/runs/41191340859Sat, 28 Feb 2026 12:20:02 GMTAgeTopicModels0.3.0successhttps://xilin-jiang.r-universe.devhttps://github.com/cran/AgeTopicModels