Package: InvStablePrior
Type: Package
Title: Inverse Stable Prior for Widely-Used Exponential Models
Version: 0.1.1
Authors@R: c(person("Dexter", "Cahoy", role = c("aut", "cre"), email = "dexter.cahoy@gmail.com"), person("Joseph", "Sedransk", role = "aut", email = "jxs123@case.edu")  )
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.
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats, fdrtool, nimble
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-08-21 18:35:34 UTC; cahoyd
Author: Dexter Cahoy [aut, cre],
  Joseph Sedransk [aut]
Maintainer: Dexter Cahoy <dexter.cahoy@gmail.com>
Repository: CRAN
Date/Publication: 2023-08-21 22:10:02 UTC
Built: R 4.6.0; ; 2026-04-26 03:57:42 UTC; unix
