| Name : R-pmhtutorial
| |
| Version : 1.5
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.3.1
| Date : 2024-06-24 15:46:20
|
| Group : Development/Libraries/Other
| Source RPM : R-pmhtutorial-1.5-lp156.3.1.src.rpm
|
| Size : 0.10 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Minimal Working Examples for Particle Metropolis-Hastings
|
Description :
Routines for state estimate in a linear Gaussian state space model and
a simple stochastic volatility model using particle filtering.
Parameter inference is also carried out in these models using the
particle Metropolis-Hastings algorithm that includes the particle
filter to provided an unbiased estimator of the likelihood. This
package is a collection of minimal working examples of these algorithms
and is only meant for educational use and as a start for learning to
them on your own.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
