BNSP: Bayesian Non- And Semi-Parametric Model Fitting

MCMC algorithms & processing functions for: 1. single response multiple regression, see Papageorgiou, G. (2018) <doi: 10.32614/RJ-2018-069>, 2. multivariate response multiple regression, with nonparametric models for the means, the variances and the correlation matrix, with variable selection, see Papageorgiou, G. and Marshall, B. C. (2020) <doi: 10.1080/10618600.2020.1739534>, 3. joint mean-covariance models for multivariate responses, see Papageorgiou, G. (2022) <doi: 10.1002/sim.9376>, and 4.Dirichlet process mixtures, see Papageorgiou, G. (2019) <doi: 10.1111/anzs.12273>.

Package details

AuthorGeorgios Papageorgiou
MaintainerGeorgios Papageorgiou <gpapageo@gmail.com>
LicenseGPL (>= 2)
Version2.2.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BNSP")

Try the BNSP package in your browser

Any scripts or data that you put into this service are public.

BNSP documentation built on May 31, 2023, 7:05 p.m.