sbde: Semiparametric Bayesian Density Estimation (original) (raw)
Offers Bayesian semiparametric density estimation and tail-index estimation for heavy tailed data, by using a parametric, tail-respecting transformation of the data to the unit interval and then modeling the transformed data with a purely nonparametric logistic Gaussian process density prior. Based on Tokdar et al. (2022) <doi:10.1080/01621459.2022.2104727>.
| Version: | 1.0-2 |
|---|---|
| Depends: | R (≥ 2.6) |
| Imports: | coda, extremefit |
| Published: | 2025-09-24 |
| DOI: | 10.32614/CRAN.package.sbde |
| Author: | Surya Tokdar [aut, cre] |
| Maintainer: | Surya Tokdar <surya.tokdar at duke.edu> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | sbde results |
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