| Name : R-deBInfer
| |
| Version : 0.4.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.7
| Date : 2024-06-14 11:27:28
|
| Group : Development/Libraries/Other
| Source RPM : R-deBInfer-0.4.4-lp153.2.7.src.rpm
|
| Size : 1.37 MB
| |
| Packager : (none)
| |
| Summary : Bayesian Inference for Differential Equations
|
Description :
A Bayesian framework for parameter inference in differential equations.
This approach offers a rigorous methodology for parameter inference as
well as modeling the link between unobservable model states and
parameters, and observable quantities. Provides templates for the DE
model, the observation model and data likelihood, and the model
parameters and their prior distributions. A Markov chain Monte Carlo
(MCMC) procedure processes these inputs to estimate the posterior
distributions of the parameters and any derived quantities, including
the model trajectories. Further functionality is provided to facilitate
MCMC diagnostics and the visualisation of the posterior distributions
of model parameters and trajectories.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
