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message: 'To cite package "DDPstar" in publications use:'
type: software
license: GPL-1.0-only
title: 'DDPstar: Density Regression via Dirichlet Process Mixtures of Normal Structured
  Additive Regression Models'
version: 1.0-1
doi: 10.32614/CRAN.package.DDPstar
abstract: Implements a flexible, versatile, and computationally tractable model for
  density regression based on a single-weights dependent Dirichlet process mixture
  of normal distributions model for univariate continuous responses. The model assumes
  an additive structure for the mean of each mixture component and the effects of
  continuous covariates are captured through smooth nonlinear functions. The key components
  of our modelling approach are penalised B-splines and their bivariate tensor product
  extension. The proposed method can also easily deal with parametric effects of categorical
  covariates, linear effects of continuous covariates, interactions between categorical
  and/or continuous covariates, varying coefficient terms, and random effects. Please
  see Rodriguez-Alvarez, Inacio et al. (2025) for more details.
authors:
- family-names: Rodriguez-Alvarez
  given-names: Maria Xose
  email: mxrodriguez@uvigo.gal
  orcid: https://orcid.org/0000-0002-1329-9238
- family-names: Inacio
  given-names: Vanda
  email: Vanda.Inacio@ed.ac.uk
  orcid: https://orcid.org/0000-0001-8084-1616
repository: https://mxrodriguezuvigo.r-universe.dev
commit: 487196244e9cd148ec6d644c0f72eb3b4611021b
date-released: '2025-01-30'
contact:
- family-names: Rodriguez-Alvarez
  given-names: Maria Xose
  email: mxrodriguez@uvigo.gal
  orcid: https://orcid.org/0000-0002-1329-9238