| Name : R-mmb
| |
| Version : 0.13.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.4.13
| Date : 2024-06-14 11:37:51
|
| Group : Development/Libraries/Other
| Source RPM : R-mmb-0.13.3-lp153.4.13.src.rpm
|
| Size : 0.23 MB
| |
| Packager : (none)
| |
| Summary : Arbitrary Dependency Mixed Multivariate Bayesian Models
|
Description :
Supports Bayesian models with full and partial (hence arbitrary)
dependencies between random variables. Discrete and continuous
variables are supported, and conditional joint probabilities and
probability densities are estimated using Kernel Density Estimation
(KDE). The full general form, which implements an extension to Bayes\'
theorem, as well as the simple form, which is just a Bayesian network,
both support regression through segmentation and KDE and estimation of
probability or relative likelihood of discrete or continuous target
random variables. This package also provides true statistical distance
measures based on Bayesian models. Furthermore, these measures can be
facilitated on neighborhood searches, and to estimate the similarity
and distance between data points. Related work is by Bayes (1763)
< doi:10.1098/rstl.1763.0053> and by Scutari (2010)
< doi:10.18637/jss.v035.i03>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
