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sbde  

Semiparametric Bayesian Density Estimation
View on CRAN: Click here


Download and install sbde package within the R console
Install from CRAN:
install.packages("sbde")

Install from Github:
library("remotes")
install_github("cran/sbde")

Install by package version:
library("remotes")
install_version("sbde", "1.0-2")



Attach the package and use:
library("sbde")
Maintained by
Surya Tokdar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-03
Latest Update: 2025-09-03
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) .
How to cite:
Surya Tokdar (2022). sbde: Semiparametric Bayesian Density Estimation. R package version 1.0-2, https://cran.r-project.org/web/packages/sbde. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:01), 1.0-0 (2022-10-03 09:30), 1.0-1 (2024-02-17 00:40)
Other packages that cited sbde R package
View sbde citation profile
Other R packages that sbde depends, imports, suggests or enhances
Complete documentation for sbde
Functions, R codes and Examples using the sbde R package
Some associated functions: coef.sbde . predict.sbde . sbde-internal . sbde . summary.sbde . 
Some associated R codes: sbde.R .  Full sbde package functions and examples
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