Package: sbde 1.0-1

Surya Tokdar

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>.

Authors:Surya Tokdar <[email protected]>

sbde_1.0-1.tar.gz
sbde_1.0-1.tar.gz(r-4.5-noble)sbde_1.0-1.tar.gz(r-4.4-noble)
sbde_1.0-1.tgz(r-4.4-emscripten)sbde_1.0-1.tgz(r-4.3-emscripten)
sbde.pdf |sbde.html
sbde/json (API)

# Install 'sbde' in R:
install.packages('sbde', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 128 downloads 1 exports 3 dependencies

Last updated 9 months agofrom:488fb2a5f3. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 14 2024
R-4.5-linux-x86_64NOTEOct 14 2024

Exports:sbde

Dependencies:codaextremefitlattice