dtms: Discrete-Time Multistate Models

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Authors: Christian Dudel
Cited by: 1
References: 5

Abstract

Discrete-time multistate models with a user-friendly workflow. The package provides tools for processing data, several ways of estimating parametric and nonparametric multistate models, and an extensive set of Markov chain methods which use transition probabilities derived from the multistate model. Some of the implemented methods are described in Schneider et al. (2024) , Dudel (2021) , Dudel & Myrskylä (2020) , van den Hout (2017) .

Publication details

Journal / source
CRAN: Contributed Packages
Publisher
The R Foundation
Publication date
25 February 2026
Document type
Dataset