Package: InvStablePrior Type: Package Title: Inverse Stable Prior for Widely-Used Exponential Models Version: 0.1.0 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) . 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: 7.2.1 Repository: https://dcahoy.r-universe.dev Date/Publication: 2022-08-25 02:38:29 UTC RemoteUrl: https://github.com/dcahoy/invstableprior RemoteRef: HEAD RemoteSha: 6e7e9a1a8e784b6c0833f2e9cece5b575ad32493 NeedsCompilation: no Packaged: 2026-09-20 12:01:06 UTC; root Author: Dexter Cahoy [aut, cre], Joseph Sedransk [aut] Maintainer: Dexter Cahoy