sbde: Semiparametric Bayesian Density Estimation

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>.

Getting started

Package details

AuthorSurya Tokdar <surya.tokdar@duke.edu>
MaintainerSurya Tokdar <surya.tokdar@duke.edu>
LicenseGPL-2
Version1.0-1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sbde")

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sbde documentation built on May 29, 2024, 4:39 a.m.