| Name : R-InvStablePrior
| |
| Version : 0.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.4
| Date : 2024-06-14 12:00:21
|
| Group : Development/Libraries/Other
| Source RPM : R-InvStablePrior-0.1.1-lp153.2.4.src.rpm
|
| Size : 0.04 MB
| |
| Packager : (none)
| |
| Summary : Inverse Stable Prior for Widely-Used Exponential Models
|
Description :
Contains functions that allow Bayesian inference on a parameter of some
widely-used exponential models. The functions can generate independent
samples from the closed-form posterior distribution using the inverse
stable prior. Inverse stable is a non-conjugate prior for a parameter
of an exponential subclass of discrete and continuous data
distributions (e.g. Poisson, exponential, inverse gamma, double
exponential (Laplace), half-normal/half-Gaussian, etc.). The prior
class provides flexibility in capturing a wide array of prior beliefs
(right-skewed and left-skewed) as modulated by a parameter that is
bounded in (0,1). The generated samples can be used to simulate the
prior and posterior predictive distributions. More details can be found
in Cahoy and Sedransk (2019) < doi:10.1007/s42519-018-0027-2>. The
package can also be used as a teaching demo for introductory Bayesian
courses.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
