Package: icmstate 0.1.1
Daniel Gomon
icmstate: Interval Censored Multi-State Models
Allows for the non-parametric estimation of transition intensities in interval-censored multi-state models using the approach of Gomon and Putter (2024) <doi:10.48550/arXiv.2409.07176> or Gu et al. (2023) <doi:10.1093/biomet/asad073>.
Authors:
icmstate_0.1.1.tar.gz
icmstate_0.1.1.tar.gz(r-4.5-noble)icmstate_0.1.1.tar.gz(r-4.4-noble)
icmstate_0.1.1.tgz(r-4.4-emscripten)icmstate_0.1.1.tgz(r-4.3-emscripten)
icmstate.pdf |icmstate.html✨
icmstate/json (API)
NEWS
| # Install 'icmstate' in R: |
| install.packages('icmstate', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 months agofrom:3dafb872cd. Checks:1 OK, 2 WARNING. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 25 2025 |
| R-4.5-linux-x86_64 | WARNING | Mar 25 2025 |
| R-4.4-linux-x86_64 | WARNING | Mar 25 2025 |
Exports:direct_from_observed_intervalsestimate_support_msmevalstepget_trans_intervalsgraphfromIntervalsinterpol_msfitmsm_frydmannpmsmplot_probtransplot_survprobtrans_weibremove_redundant_observationssim_id_weibsim_weibmsmsupport_from_direct_intervalssupport_npmsmsupportHudgenstransprobvisualise_datavisualise_msm
Dependencies:backportscheckmateclicodetoolscolorspacecpp11data.tabledeSolvediagramdigestexpmfansifarverfuturefuture.applygenericsggplot2globalsgluegtableigraphisobandKernSmoothlabelinglatticelavalifecyclelistenvmagrittrMASSMatrixmgcvmsmmstatemunsellmvtnormnlmenumDerivparallellypillarpkgconfigprodlimprogressrR6RColorBrewerRcpprlangscalesshapeSQUAREMsurvivaltibbleutf8vctrsviridisLitewithr
Comparison with known results
Rendered fromcomparison-with-known-results.Rmdusingknitr::rmarkdownon Mar 25 2025.Last update: 2024-10-28
Started: 2024-10-28
Overview
Rendered fromOverview.Rmdusingknitr::rmarkdownon Mar 25 2025.Last update: 2024-11-08
Started: 2024-10-28
Simulating Multi-state models with icmstate
Rendered fromsim_msm.Rmdusingknitr::rmarkdownon Mar 25 2025.Last update: 2024-11-08
Started: 2024-10-28
Citation
To cite package ‘icmstate’ in publications use:
Gomon D, Putter H (2024). icmstate: Interval Censored Multi-State Models. R package version 0.1.1, https://CRAN.R-project.org/package=icmstate.
Corresponding BibTeX entry:
@Manual{,
title = {icmstate: Interval Censored Multi-State Models},
author = {Daniel Gomon and Hein Putter},
year = {2024},
note = {R package version 0.1.1},
url = {https://CRAN.R-project.org/package=icmstate},
}
Readme and manuals
icmstate
Interval-Censored Multi-STATE modelling (icmstate)
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).
Using the package
More information on how to use the package can be found in the vignettes
under the doc directory.
Installation
Install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("d-gomon/icmstate")
Research Code
The results of Gomon and Putter
(2024) can be reproduced
using the code in the folder Research_Code.
References
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