| Name : R-HTLR
| |
| Version : 0.4.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.14
| Date : 2024-09-12 10:44:04
|
| Group : Development/Libraries/Other
| Source RPM : R-HTLR-0.4.4-lp153.2.14.src.rpm
|
| Size : 2.50 MB
| |
| Packager : (none)
| |
| Summary : Bayesian Logistic Regression with Heavy-Tailed Priors
|
Description :
Efficient Bayesian multinomial logistic regression based on
heavy-tailed (hyper-LASSO, non-convex) priors. The posterior of
coefficients and hyper-parameters is sampled with restricted Gibbs
sampling for leveraging the high-dimensionality and Hamiltonian Monte
Carlo for handling the high-correlation among coefficients. A detailed
description of the method: Li and Yao (2018), Journal of Statistical
Computation and Simulation, 88:14, 2827-2851, < arXiv:1405.3319>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
