# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "presmoothedTP" in publications use:' type: software license: GPL-3.0-only title: 'presmoothedTP: Presmoothed Landmark Aalen-Johansen Estimator of Transition Probabilities for Complex Multi-State Models' version: 0.1.0 doi: 10.32614/CRAN.package.presmoothedTP abstract: Multi-state models are essential tools in longitudinal data analysis. One primary goal of these models is the estimation of transition probabilities, a critical metric for predicting clinical prognosis across various stages of diseases or medical conditions. Traditionally, inference in multi-state models relies on the Aalen-Johansen (AJ) estimator which is consistent under the Markov assumption. However, in many practical applications, the Markovian nature of the process is often not guaranteed, limiting the applicability of the AJ estimator in more complex scenarios. This package extends the landmark Aalen-Johansen estimator (Putter, H, Spitoni, C (2018) ) incorporating presmoothing techniques described by Soutinho, Meira-Machado and Oliveira (2020) , offering a robust alternative for estimating transition probabilities in non-Markovian multi-state models with multiple states and potential reversible transitions. authors: - family-names: Soutinho given-names: Gustavo email: gustavosoutinho@sapo.pt orcid: https://orcid.org/0000-0002-0559-1327 - family-names: Meira-Machado given-names: Luis email: lmachado@math.uminho.pt orcid: https://orcid.org/0000-0002-8577-7665 repository: https://gsoutinho.r-universe.dev commit: bf85b263948f42d3ad076b889e4c022a190d091f date-released: '2025-01-22' contact: - family-names: Soutinho given-names: Gustavo email: gustavosoutinho@sapo.pt orcid: https://orcid.org/0000-0002-0559-1327