| Name : R-bayesdistreg
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:26:19
|
| Group : Development/Libraries/Other
| Source RPM : R-bayesdistreg-0.1.0-lp153.2.13.src.rpm
|
| Size : 0.09 MB
| |
| Packager : (none)
| |
| Summary : Bayesian Distribution Regression
|
Description :
Implements Bayesian Distribution Regression methods. This package
contains functions for three estimators (non-asymptotic,
semi-asymptotic and asymptotic) and related routines for Bayesian
Distribution Regression in Huang and Tsyawo (2018)
< doi:10.2139/ssrn.3048658> which is also the recommended reference to
cite for this package. The functions can be grouped into three (3)
categories. The first computes the logit likelihood function and
posterior densities under uniform and normal priors. The second
contains Independence and Random Walk Metropolis-Hastings Markov Chain
Monte Carlo (MCMC) algorithms as functions and the third category of
functions are useful for semi-asymptotic and asymptotic Bayesian
distribution regression inference.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
