Nothing
oncomsm: Bayesian Multi-State Models for Early Oncology
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'.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Kevin Kunzmann [aut, cre] (<https://orcid.org/0000-0002-1140-7143>), Karthik Ananthakrishnan [ctb], Boehringer Ingelheim Ltd. [cph, fnd] |
| Maintainer | Kevin Kunzmann <kevin.kunzmann@boehringer-ingelheim.com> |
| License | Apache License 2.0 |
| Version | 0.1.4 |
| URL | https://boehringer-ingelheim.github.io/oncomsm/ https://github.com/Boehringer-Ingelheim/oncomsm |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the oncomsm package in your browser
Any scripts or data that you put into this service are public.
