| Name : R-LearnBayes
| |
| Version : 2.15.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : 1.24
| Date : 2024-06-14 10:32:20
|
| Group : Development/Libraries/Other
| Source RPM : R-LearnBayes-2.15.1-1.24.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:/released/SLE_15/x86_64 |
