Package: sbde
Version: 1.0-2
Date: 2025-09-24
Title: Semiparametric Bayesian Density Estimation
Authors@R: person(given = "Surya",
                      family = "Tokdar",
                      role = c("aut", "cre"),
                      email = "surya.tokdar@duke.edu")
Depends: R (>= 2.6)
Imports: coda, extremefit
Description: 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>.
License: GPL-2
NeedsCompilation: yes
Packaged: 2025-09-24 19:37:30 UTC; stokdar
Author: Surya Tokdar [aut, cre]
Maintainer: Surya Tokdar <surya.tokdar@duke.edu>
Repository: CRAN
Date/Publication: 2025-09-24 20:20:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 02:48:39 UTC; unix
Archs: sbde.so.dSYM
