| Name : R-MHadaptive
| |
| Version : 1.1.8
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 10:57:58
|
| Group : Development/Libraries/Other
| Source RPM : R-MHadaptive-1.1.8-lp153.2.13.src.rpm
|
| Size : 0.08 MB
| |
| Packager : (none)
| |
| Summary : General Markov Chain Monte Carlo for Bayesian Inference using adaptive Metropolis-Hastings sampling
|
Description :
Performs general Metropolis-Hastings Markov Chain Monte Carlo sampling
of a user defined function which returns the un-normalized value
(likelihood times prior) of a Bayesian model. The proposal
variance-covariance structure is updated adaptively for efficient
mixing when the structure of the target distribution is unknown. The
package also provides some functions for Bayesian inference including
Bayesian Credible Intervals (BCI) and Deviance Information Criterion
(DIC) calculation.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
