| Name : R-deGradInfer
| |
| Version : 1.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.11
| Date : 2024-06-14 12:06:44
|
| Group : Development/Libraries/Other
| Source RPM : R-deGradInfer-1.0.1-lp153.3.11.src.rpm
|
| Size : 0.41 MB
| |
| Packager : (none)
| |
| Summary : Parameter Inference for Systems of Differential Equation
|
Description :
Efficient Bayesian parameter inference for systems of ordinary
differential equations. The inference is based on adaptive gradient
matching (AGM, Dondelinger et al. 2013
< http://proceedings.mlr.press/v31/dondelinger13a.pdf>, Macdonald 2017
< http://theses.gla.ac.uk/7987/1/2017macdonaldphd.pdf>), which offers
orders-of-magnitude improvements in computational efficiency over
standard methods that require solving the differential equation system.
Features of the package include flexible specification of custom ODE
systems as R functions, support for missing variables, Bayesian
inference via population MCMC.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
