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Using the package it is possible to non-parametrically estimate transition intensities in interval-censored multi-state models. The package also provides utilities for plotting panel data and transition probabilities between states. Many of the functions from the package can be used for visualisation as well. The package currently supports two approaches to determine transition intensities, either using the Multinomial likelihood approach as in Gomon and Putter (2024) or the latent Poisson approach as in Gu et al (2023).
More information on how to use the package can be found in the
vignettes under the doc
directory.
Install the development version from GitHub with:
# install.packages("devtools")
::install_github("d-gomon/icmstate") devtools
The results of Gomon and Putter
(2024) can be reproduced using the code in the folder
Research_Code
.
Gomon D., Putter H. (2024): Non-parametric estimation of transition intensities in interval censored Markov multi-state models without loops, arXiv
Gu Y., Zeng D., Heiss G., Lin D. Y. (2023): Maximum likelihood estimation for semiparametric regression models with interval-censored multistate data, Biometrika
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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