| Name : R-LearnBayes
| |
| Version : 2.15.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 10:58:23
|
| Group : Development/Libraries/Other
| Source RPM : R-LearnBayes-2.15.1-lp153.2.13.src.rpm
|
| Size : 1.07 MB
| |
| Packager : (none)
| |
| Summary : Functions for Learning Bayesian Inference
|
Description :
A collection of functions helpful in learning the basic tenets of
Bayesian statistical inference. It contains functions for summarizing
basic one and two parameter posterior distributions and predictive
distributions. It contains MCMC algorithms for summarizing posterior
distributions defined by the user. It also contains functions for
regression models, hierarchical models, Bayesian tests, and
illustrations of Gibbs sampling.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
