InvStablePrior
Inverse Stable Prior for Widely-Used Exponential Models
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | InvStablePrior_0.1.1.tar.gz |
34.1 KiB |
0.1.1 |
rolling linux/noble R-4.5 | InvStablePrior_0.1.1.tar.gz |
34.0 KiB |
0.1.1 |
rolling source/ R- | InvStablePrior_0.1.1.tar.gz |
4.9 KiB |
0.1.1 |
latest linux/jammy R-4.5 | InvStablePrior_0.1.1.tar.gz |
34.1 KiB |
0.1.1 |
latest linux/noble R-4.5 | InvStablePrior_0.1.1.tar.gz |
34.0 KiB |
0.1.1 |
latest source/ R- | InvStablePrior_0.1.1.tar.gz |
4.9 KiB |
0.1.1 |
2026-04-26 source/ R- | InvStablePrior_0.1.1.tar.gz |
4.9 KiB |
0.1.1 |
2026-04-23 source/ R- | InvStablePrior_0.1.1.tar.gz |
4.9 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | InvStablePrior_0.1.1.zip |
37.1 KiB |
0.1.1 |
2025-04-20 source/ R- | InvStablePrior_0.1.1.tar.gz |
4.9 KiB |