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DDPstar

1.0-1

Density Regression via Dirichlet Process Mixtures of Normal Structured Additive Regression Models

0packages depend
6.1Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Maria Xose Rodriguez-AlvarezFirst published 2025-01-311 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 3.7 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
58%

Downloads

6.1K
CRAN downloads in the past year
Rank #7,969 · ~17/day · ~509/mo
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21730 days
1.1K90 days
6.1K1 year
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Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (8)
statsgrDevicesgraphicssplinesmomentsMatrixparallelMASS
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0-1Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-01-31
Total releases
1 / 1 yrs
License
GPL
Minimum R
≥ 3.5.0
Bundled data
16 KB / 1 file
Download size
54 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DDPstar")
Rodriguez-Alvarez, M. X., & Inacio, V. (2025). DDPstar: Density Regression via Dirichlet Process Mixtures of Normal Structured Additive Regression Models (Version 1.0-1) [Computer software]. https://doi.org/10.32614/CRAN.package.DDPstar

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DDPstar version 1.0-1 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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