README.md
In csetraynor/mctte: Compartmental models applied to time-to-event.
mctte
Compartmental models applied to time-to-event.
This package is a library of models to fit multi-state models. The goal is to have a very flexible library representing many types of distributions for the hazard transitions as well as for including PKPD and longitudinal biomarkers.
For the population approach, we explore hierarchical/multilevel models and make use of the pmx_group_ode solver available in Torsten.
To speed-up computations is recommendable to use MPI: please check the Torsten and Stan MPI solutions for more information.
Algorithms to simulate data from a multi-state model via inverse transform samplings are also provided.
-Torsten MPI https://github.com/metrumresearchgroup/Torsten
Warning this package is not yet an R package
This means that can not be used as common R packages.
Thank you for taking this warning in consideration.
Collaboration, suggestions are very welcomed in the issues section.
Stan models need to be compiled and continuos updates may change current functions.
csetraynor/mctte documentation built on Oct. 20, 2019, 10:36 p.m.
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mctte
Compartmental models applied to time-to-event.
This package is a library of models to fit multi-state models. The goal is to have a very flexible library representing many types of distributions for the hazard transitions as well as for including PKPD and longitudinal biomarkers. For the population approach, we explore hierarchical/multilevel models and make use of the pmx_group_ode solver available in Torsten. To speed-up computations is recommendable to use MPI: please check the Torsten and Stan MPI solutions for more information.
Algorithms to simulate data from a multi-state model via inverse transform samplings are also provided.
-Torsten MPI https://github.com/metrumresearchgroup/Torsten
Warning this package is not yet an R package
This means that can not be used as common R packages. Thank you for taking this warning in consideration. Collaboration, suggestions are very welcomed in the issues section. Stan models need to be compiled and continuos updates may change current functions.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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