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oncomsm  

Bayesian Multi-State Models for Early Oncology
View on CRAN: Click here


Download and install oncomsm package within the R console
Install from CRAN:
install.packages("oncomsm")

Install from Github:
library("remotes")
install_github("cran/oncomsm")

Install by package version:
library("remotes")
install_version("oncomsm", "0.1.4")



Attach the package and use:
library("oncomsm")
Maintained by
Kevin Kunzmann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-09
Latest Update: 2023-04-17
Description:
Implements methods to fit a parametric Bayesian multi-state model to tumor response data. The model can be used to sample from the predictive distribution to impute missing data and calculate probability of success for custom decision criteria in early clinical trials during an ongoing trial. The inference is implemented using 'stan'.
How to cite:
Kevin Kunzmann (2022). oncomsm: Bayesian Multi-State Models for Early Oncology. R package version 0.1.4, https://cran.r-project.org/web/packages/oncomsm. Accessed 30 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:37), 0.1.2 (2022-12-09 15:40), 0.1.3 (2023-03-11 11:20), 0.1.4 (2023-04-17 09:00)
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Complete documentation for oncomsm
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