| Name : R-BoomSpikeSlab
| |
| Version : 1.2.6
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 11:16:41
|
| Group : Development/Libraries/Other
| Source RPM : R-BoomSpikeSlab-1.2.6-lp153.1.4.src.rpm
|
| Size : 6.08 MB
| |
| Packager : (none)
| |
| Summary : MCMC for Spike and Slab Regression
|
Description :
Spike and slab regression with a variety of residual error
distributions corresponding to Gaussian, Student T, probit, logit, SVM,
and a few others. Spike and slab regression is Bayesian regression
with prior distributions containing a point mass at zero. The
posterior updates the amount of mass on this point, leading to a
posterior distribution that is actually sparse, in the sense that if
you sample from it many coefficients are actually zeros. Sampling from
this posterior distribution is an elegant way to handle Bayesian
variable selection and model averaging. See
< DOI:10.1504/IJMMNO.2014.059942> for an explanation of the Gaussian
case.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
